Title: Data Engineer with Pyspark (Onsite) Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Practice - AIA - Artificial Intelligence and Analytics About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. Location: Mountainview, CA (Onsite) Job Summary Looking for Data Engineer with Pyspark and AWS skills Responsibilities 1) Requirement understanding and gathering 2) Design and develop data pipelines for new module 3) Unit testing and help UAT team for any issues 4) Upload all the deliverables in Git and help prod team to deploy the code in prod Design and implement robust data transformation pipelines using pyspark Develop and maintain a scalable data pipeline architecture that supports a wide variety of data sources and business use cases. Collaborate with data engineers and business stakeholders to define requirements for data transformations and models. Lead best practices for pipeline development including modularity testing version control and continuous integration (CI/CD). Optimize data pipeline models for performance and scalability in a cloud-based data warehouse environment (AWS S3 Redshift). Ensure data quality and governance through well-defined data transformation processes testing frameworks and documentation. Troubleshoot and resolve issues related to data pipelines transformations. Mentor and train team members on data pipeline best practices encouraging a data-driven culture across the organization. Salary and Other Compensation: The annual salary for this position is between $120,000 - $ 130,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: <ul> <li>Medical/Dental/Vision/Life Insurance </li> <li>Paid holidays plus Paid Time Off </li> <li>401(k) plan and contributions </li> <li>Long-term/Short-term Disability </li> <li>Paid Parental Leave </li> <li>Employee Stock Purchase Plan </li> </ul> Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. <ul> <li>Cognizant is a global community with more than 300,000 associates around the world.</li> <li>We don't just dream of a better way - we make it happen.</li> <li>We take care of our people, clients, company, communities and climate by doing what's right.</li> <li>We foster an innovative environment where you can build the career path that's right for you.</li> </ul> About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com Our commitment to diversity and inclusion: Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Disclaimer: Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Position Summary Role and Responsibilities Samsung Ads is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients. We are seeking a highly skilled and experienced front-end staff engineer to join our dynamic team and help shape the future of the ad tech industry. We seek a talented StaffData Engineer to play a pivotal role in enhancing our platform's performance advertising capabilities. As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness. Responsibilities <ul> <li>Develop and implement advanced attribution models to analyze and attribute the impact of various marketing channels on user conversion. </li><li>Collaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies. </li><li>Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data. </li><li>Work closely with stakeholders to understand and translate business requirements into technical solutions. </li><li>Conduct A/B testing and performance analysis to validate and iterate on attribution models. </li><li>Stay updated on industry trends and emerging technologies related to attribution modeling and ad tech. </li></ul>Skills and Qualifications Qualifications <ul> <li>Bachelor's or Master's in Computer Science, Data Science, or a related field. </li><li>Requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years </li><li>Proven experience in attribution modeling within the ad tech industry. </li><li>Strong programming skills in Python, Java, or Scala. </li><li>Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite) </li><li>Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce). </li><li>Hands-on experience with orchestration tools like Airflow or similar </li><li>Solid understanding of statistical concepts and experience with relevant tools. </li><li>Excellent problem-solving and communication skills. </li></ul>Preferred Qualifications <ul> <li>Experience with machine learning techniques for attribution modeling. </li><li>Familiarity with real-time data processing and streaming technologies. </li><li>Knowledge of end-to-end digital advertising ecosystems and industry standards. </li><li>Knowledge of Snowflake and related technologies </li></ul> California Only Compensation for this role is expected to be between $200,000 and $230,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. #LI-JL3 #Hybrid * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. * Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

GAQ425R73 Location: San Francisco, CA or Mountain View, CA At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth. The Data Engineer contributes in technological decisions for business teams' future data and analysis needs. You will support the business's daily operations inclusive of troubleshooting of the business's data warehouse environment and job monitoring. You will guide the business in identifying any new data needs and provide mechanisms for acquiring and reporting such information and addressing the actual needs. The Data Engineer gathers and maintains best practices that can be adopted in big data stacking and sharing across the business. The Data Engineer provides guidance to the business in data analysis, reporting, data warehousing, and business intelligence. You will report to the Director of Business Systems and Data. The impact you will have: <ul><li>Design/Strategy: The Data Engineer participates with design and supports the business's database and table schemas for new and existing data sources for the data warehouse. Create and support the ETL to allow the accommodation of data into the warehouse. In this capacity, the Data Engineer designs and develops systems for maintaining the business's data warehouse, ETL processes, and business intelligence.</li><li>Collaboration: The role that the Data Engineer plays is collaborative and, as such, works with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data warehouse table structure, which is optimized for reporting. The Data Engineer also works with other departments and teams across the business in coming up with simple, functional, and elegant solutions that balance data needs across the business</li><li>Analytics: The Data Engineer plays an analytical role in quickly and thoroughly analyzing requirements for analysis and subsequently translating the emanating results into good technical data designs. In this capacity, the Data Engineer establishes the documentation of reports and develops technical specification documentation for all reports and processes</li></ul> What we look for: <ul><li>2+ years of data analysis and engineering experience</li><li>Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.</li><li>Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, and Talend</li><li>Advanced working SQL experience working with relational databases, query authoring (SQL) and working familiarity with a variety of databases.</li><li>Experience building 'big data' data pipelines, architectures and data sets. In-depth knowledge of Model and Design of DB schemas for read and write performance.</li><li>Working knowledge of API or Stream-based data extraction processes like Salesforce API and Bulk API is must. Experience performing root cause analysis on all data and processes to answer specific questions and identify opportunities for improvement.</li><li>Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets.</li><li>Working knowledge of message queuing, stream processing, and scalable 'big data' data stores.</li><li>Experience with building data pipeline from several business applications like Salesforce, Marketo, NetSuite, and Workday</li><li>Working knowledge of BI Tools like Tableau or Looker</li></ul> Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $92,800-$164,200 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Are you ready to step up to the New and take your technology expertise to the next level? Join Accenture and help transform leading organizations and communities around the world.? The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.? Choose Accenture and make delivering innovative work part of your extraordinary career. As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions.?? There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges.? We will nurture your talent in an inclusive culture that values diversity.? Come grow your career in technology at Accenture! Google Cloud Platform (GCP) Data Engineer will be responsible for architecting transformation and modernization of enterprise data solutions on GCP integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must . We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud. Key responsibilities may include: + Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP. + As a Data Engineer, work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud + Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP + Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments + Analyze and understand Big Data and analytical technologies on GCP and provide thought leadership to clients to assist with defining their architecture, data, analytics strategies + Communicate complex technical topics to non-technical business and sr. executives + Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software + Supporting Data migration and transformation projects. + Knowledge on Google AutoML framework to build intelligence into the data pipelines. Travel may be required for this role. ?The amount of travel will vary from 25% to 100% depending on business need and client requirements. + GCP Services : Minimum of 5 year's experience in any cloud platform including 2 years of Deep experience with GCP data and analytics services including Spark, Cloud DataProc , Cloud Dataflow, Apache Beam, BigTable , Cloud BigQuery , Cloud PubSub , Cloud Functions + Data Warehousing & Pipelines: Minimum of 3 years of p roven ability to re-architect and re-platform on-premise data warehouses to GCP, and design/build production data pipelines within hybrid architectures using Java, Python, or Scala. + Data Platform Architecture: Minimum of 3 years of e xpertise in architecting and implementing next-generation data and analytics platforms on GCP, including data engineering, ingestion, and curation functions using GCP native or custom programming. + Data Lake & Ingestion: Minimum of 3 years of h ands-on experience architecting & designing data lakes on GCP, and implementing data ingestion solutions using GCP native services or 3rd-party tools like Talend/Informatica + Data Modeling & Optimization: Minimum of 3 years of p roficiency in designing and optimizing data models on GCP using BigQuery and BigTable + Vertex AI : Minimum of 2 years of p roficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models. + MLOps for GenAI : Minimum of 2 years of e xperience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models . + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associates Degree , must have a minimum 6 years work experience)? Preferred Qualifications + Metadata Management, Governance & Security: Experience architecting and implementing metadata management, data governance, and security for data platforms on GCP. + Performance Engineering: Ability to design operations architecture and conduct performance engineering for large-scale data lakes in production + Hadoop/NoSQL: Experience architecting and operating large production years Hadoop /NoSQL clusters on-premise or in the cloud + Self-Service Data Prep: Familiarity with introducing and operationalizing self-service data preparation tools (e.g., Trifacta, Paxata ) on GCP + SQL : 3 + years experience writing complex SQL queries and stored procedures + Generative AI Studio: Experience with Generative AI Studio for prototyping and experimenting with generative AI models. + Model Garden: Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models. + Certifications: Google Certified Professional Data Engineer Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location Annual Salary Range California $93,400 to $224,600 Colorado $93,400 to $194,100 District of Columbia $99,500 to $206,700 New York $86,500 to $224,600 Maryland $86,500 to $179,700 Washington $99,500 to $206,700 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Position Summary Role and Responsibilities Samsung Ads is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients. We are seeking a highly skilled and experienced front-end staff engineer to join our dynamic team and help shape the future of the ad tech industry. We seek a talented Lead Data Engineer to play a pivotal role in enhancing our platform's performance advertising capabilities. As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness. Responsibilities <ul><li>Develop and implement advanced attribution models to analyze and attribute the impact of various marketing channels on user conversion.</li><li>Collaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies.</li><li>Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data.</li><li>Work closely with stakeholders to understand and translate business requirements into technical solutions.</li><li>Conduct A/B testing and performance analysis to validate and iterate on attribution models.</li><li>Stay updated on industry trends and emerging technologies related to attribution modeling and ad tech.</li></ul> Skills and Qualifications Qualifications <ul><li>Bachelor's or Master's in Computer Science, Data Science, or a related field.</li><li>Requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years</li><li>Proven experience in attribution modeling within the ad tech industry.</li><li>Strong programming skills in Python, Java, or Scala.</li><li>Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)</li><li>Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).</li><li>Hands-on experience with orchestration tools like Airflow or similar</li><li>Solid understanding of statistical concepts and experience with relevant tools.</li><li>Excellent problem-solving and communication skills.</li></ul> Preferred Qualifications <ul><li>Experience with machine learning techniques for attribution modeling.</li><li>Familiarity with real-time data processing and streaming technologies.</li><li>Knowledge of end-to-end digital advertising ecosystems and industry standards.</li><li>Knowledge of Snowflake and related technologies</li></ul> California Only Compensation for this role is expected to be between $200,000 and $230,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. #LI-CT1 #Hybrid * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

The global data management software market is set to reach $137.6 billion by 2026, and we're on a mission to make a significant impact. We're seeking intellectually curious and highly motivated Data Engineers to become foundational members of our Machine Learning and Data Platform team. Required Qualifications for Ideal candidate <ul><ul><li>4+ years of professional experience in SaaS/Enterprise companies </li><li>Strong experience with data ingestion and connectors</li><li>Experience in building end-to-end production-grade data solutions on AWS or GCP</li><li>Experience in building scalable ETL pipelines.</li><li>Ability to plan effective data storage, security, sharing, and publishing within an organization.</li><li>Experience in developing batch ingestion and data transformation routines using ETL tools.</li><li>Familiarity with AWS services such as S3, Kinesis, EMR, Lambda, Athena, Glue, IAM, RDS.</li><li>Proficiency in several programming languages (Python, Scala, Java).</li><li>Familiarity with orchestration tools such as Temporal, Airflow, Luigi, etc.</li><li>Self-starter, motivated, with the ability to structure complex problems and develop solutions.</li><li>Excellent communication skills and ability to explain data and analytics strengths and weaknesses to both technical and senior business stakeholders.</li></ul></ul> Preferred Qualifications - good to have <ul><ul><li>Deep familiarity with Spark and/or Hive</li><li>Understanding of different storage formats like Parquet, Avro, Arrow, and JSON and when to use each</li><li>Understanding of schema designs like normalization vs. denormalization.</li><li>Proficiency in Kubernetes, and Terraform.</li><li>Azure, ADF and/or Databricks skills</li><li>Experience with integrating, transforming, and consolidating data from various data systems into analytics solutions</li><li>Good understanding of databases, SQL, ETL tools/techniques, data profiling and modeling</li><li>Strong communications skills and client engagement</li></ul></ul> We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Data Engineer Jobs in Mountain View, CA

Staff Data Engineer Samsung Ads
November 11, 2024

Seniorstaff Data Engineer
November 10, 2024

Staff Data Engineer Samsung Ads
November 8, 2024

Data Engineer With Pyspark Onsite
November 8, 2024

Staff Data Engineer Samsung Ads
November 7, 2024

Data Engineer Ii
November 7, 2024

Gcp Data Engineer
November 3, 2024

Lead Data Engineer Samsung Ads
October 30, 2024

Data Engineer
October 28, 2024

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Data Engineer Jobs in Mountain View, CA

Staff Data Engineer Samsung AdsNovember 11, 2024

Seniorstaff Data EngineerNovember 10, 2024

Staff Data Engineer Samsung AdsNovember 8, 2024

Data Engineer With Pyspark OnsiteNovember 8, 2024

Staff Data Engineer Samsung AdsNovember 7, 2024

Data Engineer IiNovember 7, 2024

Gcp Data EngineerNovember 3, 2024

Lead Data Engineer Samsung AdsOctober 30, 2024

Data EngineerOctober 28, 2024