Job Title: Data Engineer with GCP Job Location: Sunnyvale, CA Job Type: Contract Data Engineer Description: UST Global® is looking for a highly energetic and collaborative Data Engineer for a XX-month engagement. Responsibilities: As a Senior Data Engineer, you will <ul> <li>Design and develop big data applications using the latest open source technologies.</li> <li>Desired working in offshore model and Managed outcome </li> <li>Develop logical and physical data models for big data platforms. </li> <li>Automate workflows using Apache Airflow. </li> <li>Create data pipelines using Apache Hive, Apache Spark, Apache Kafka.</li> <li>Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support.</li> <li>Learn our business domain and technology infrastructure quickly and share your knowledge freely and actively with others in the team. </li> <li>Mentor junior engineers on the team </li> <li>Lead daily standups and design reviews </li> <li>Groom and prioritize backlog using JIRA </li> <li>Act as the point of contact for your assigned business domain </li> </ul> Requirements: GCP Experience <ul> <li>X+ years of recent GCP experience </li> <li>Experience building data pipelines in GCP </li> <li>GCP Dataproc, GCS & BIGQuery experience </li> <li>X+ years of hands-on experience with developing data warehouse solutions and data products. </li> <li>5+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required </li> <li>X+ years of hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms. </li> <li>Experience with programming languages: Python, Java, Scala, etc.</li> <li>Experience with scripting languages: Perl, Shell, etc. </li> <li>Practice working with, processing, and managing large data sets (multi TB/PB scale).</li> <li>Exposure to test driven development and automated testing frameworks. </li> <li>Background in Scrum/Agile development methodologies. </li> <li>Capable of delivering on multiple competing priorities with little supervision. </li> <li>Excellent verbal and written communication skills. </li> </ul> Bachelor's Degree in computer science or equivalent experience. The most successful candidates will also have experience in the following: Gitflow Atlassian products - BitBucket, JIRA, Confluence etc. Continuous Integration tools such as Bamboo, Jenkins, or TFS Location: This position will be based in Sunnyvale, CA Gcp,Spark,Scala by Rashmi Vernekar(UST,US) (Unverified)Rashmi Vernekar(UST,US) (Unverified)12:23 Gcp,Spark,Scala has context menu

Job Position: Data Engineer Job Location: Bentonville, AR Job duration: Contract Responsibilities: <ul> <li>Design, develop, and maintain robust and scalable ETL workflows and data pipelines using tools like Hive, Spark, and Airflow.</li> <li>Implement and manage data storage and processing solutions using Apache Hudi and BigQuery.</li> <li>Develop and optimize data pipelines for structured and unstructured data in GCP environments, leveraging GCS for data storage.</li> <li>Write clean, maintainable, and efficient code in Scala and Python to process and transform data.</li> <li>Ensure data quality, integrity, and consistency by implementing appropriate data validation and monitoring techniques.</li> <li>Work with cross-functional teams to understand business requirements and deliver data solutions that drive insights and decision-making.</li> <li>Troubleshoot and resolve performance and scalability issues in data processing and pipelines.</li> <li>Stay updated with the latest developments in big data technologies and tools and incorporate them into the workflow as appropriate.</li> </ul> Required Skills and Qualifications: <ul> <li>Proven experience as a Data Engineer, preferably in a big data environment.</li> <li>Expertise in Hive, Spark, and Apache Hudi for big data processing and storage.</li> <li>Hands-on experience with BigQuery and Google Cloud Platform (GCP) services such as GCS, Dataflow, and Pub/Sub.</li> <li>Strong programming skills in Scala and Python, with experience in building data pipelines and ETL processes.</li> <li>Proficiency with workflow orchestration tools like Apache Airflow.</li> <li>Solid understanding of data warehousing concepts, data modelling, and schema design.</li> <li>Knowledge of distributed systems and parallel processing.</li> <li>Strong problem-solving skills and ability to work with large datasets in a fast-paced environment.</li> </ul> Must have skills. <ul> <li>Overall Experience level:</li> <li>7+ years of recent GCP experience</li> <li>Apache Hudi for big data processing and storage</li> <li>7+ years of hands-on experience Hadoop, Hive or Spark, Airflow or a workflow orchestration solution</li> <li>Experience with programming languages: Python, Java, Scala, etc.</li> <li>Experience with scripting languages: Perl, Shell, etc.</li> </ul>

Job Title: Sr. Data Engineer Job Location: Beontonville, AR Job Type: Contract Job Duration: Long Term. Description: Client is looking for a highly energetic and collaborative Data Engineer for a 12-month engagement. Responsibilities: As a Senior Data Engineer, you will •Design and develop big data applications using the latest open source technologies. •Desired working in offshore model and Managed outcome •Develop logical and physical data models for big data platforms. •Automate workflows using Apache Airflow. •Create data pipelines using Apache Hive, Apache Spark, Apache Kafka. •Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support. •Learn our business domain and technology infrastructure quickly and share your knowledge freely and actively with others in the team. •Mentor junior engineers on the team •Lead daily standups and design reviews •Groom and prioritize backlog using JIRA •Act as the point of contact for your assigned business domain Requirements: GCP Experience •2+ years of recent GCP experience •Experience building data pipelines in GCP •GCP Dataproc, GCS & BIGQuery experience •5+ years of hands-on experience with developing data warehouse solutions and data products. •5+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required •2+ years of hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms. •Experience with programming languages: Python, Java, Scala, etc. •Experience with scripting languages: Perl, Shell, etc. •Practice working with, processing, and managing large data sets (multi TB/PB scale). •Exposure to test driven development and automated testing frameworks. •Background in Scrum/Agile development methodologies. •Capable of delivering on multiple competing priorities with little supervision. •Excellent verbal and written communication skills. •Bachelor's Degree in computer science or equivalent experience. The most successful candidates will also have experience in the following: •Gitflow •Atlassian products - BitBucket, JIRA, Confluence etc. •Continuous Integration tools such as Bamboo, Jenkins, or TFS

Job Title: Senior Data Engineer Location: Sunnyvale, CA (Day 1 Onsite) Duration: 12-Month Contract Job Description: seeking a highly skilled and collaborative Senior Data Engineer to design and develop big data applications using the latest open-source technologies. The ideal candidate will have a proven track record in building data pipelines, working with distributed data platforms, and utilizing Google Cloud Platform (GCP) technologies. Responsibilities: <ul> <li>Design and develop scalable big data applications and pipelines using GCP and open-source tools.</li> <li>Build logical and physical data models for big data platforms.</li> <li>Automate workflows using Apache Airflow.</li> <li>Create and manage data pipelines with Apache Hive, Spark, and Kafka.</li> <li>Provide maintenance and enhancements to existing systems, including rotational on-call support.</li> <li>Mentor junior engineers and conduct design reviews.</li> <li>Participate in Agile ceremonies like daily standups and backlog grooming using JIRA.</li> <li>Act as the technical point of contact for assigned business domains.</li> </ul> Required Skills and Experience: <ul> <li>GCP Expertise: 3+ years of recent experience with Dataproc, GCS, and Big Query.</li> <li>Big Data Platforms: 7+ years of hands-on experience with Hadoop, Hive, Spark, and Airflow.</li> <li>Data Modeling: 4+ years of experience designing schemas for data lakes or RDBMS platforms.</li> <li>Programming Languages: Proficiency in Python, Java, Scala, etc.</li> <li>Scripting Languages: Experience with Perl, Shell scripting, etc.</li> <li>Data Handling: Experience processing and managing large datasets (multi-TB/PB scale).</li> <li>Agile Methodologies: Background in Scrum/Agile development and test-driven development.</li> <li>Strong problem-solving, analytical, and communication skills.</li> <li>Bachelor's Degree in Computer Science or equivalent experience.</li> </ul> Preferred Skills: <ul> <li>Familiarity with Gitflow and Atlassian tools like Bitbucket, JIRA, and Confluence.</li> <li>Experience with CI/CD tools such as Bamboo, Jenkins, or TFS.</li> </ul> Why Join Us: <ul> <li>Opportunity to work on cutting-edge technologies and large-scale data platforms.</li> <li>Collaborative and fast-paced work environment with opportunities to mentor and lead.</li> </ul> If you are a passionate Data Engineer with expertise in GCP and big data technologies, we encourage you to apply for this exciting opportunity.

Job Title: Data Engineer with Retail domain exp. Job Location: Bentonville, AR 72712 (onsite) Job Type: Contract Job Duration: 12 months Job Description Client is looking for a highly energetic and collaborative Data Engineer with experience leading enterprise data projects around Business and IT operations. The ideal candidate should be an expert in leading projects in developing and testing data pipelines, data analytics efforts, proactive issue identification and resolution and alerting mechanism using traditional, new and emerging technologies. Excellent written and verbal communication skills and ability to liaise with technologists to executives is key to be successful in this role. <ul> <li>6+ year strong experience working in Java, Spark, Scala</li> <li>Hands on experience on Python</li> <li>Strong in GCP</li> <li>Hands on experience working on Tableau</li> </ul>

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