Job ID: 23-04637 Title - Data Engineer Location - San Jose, CA Duration - 8 Months Pay rate - $91.55 per hour on w2 Write complex SQL queries that help Adobe identify and measure the non-genuine software base. Apply business logic to determine categorize the non-genuine base into opportunities Use Big Data best practices to help scale the piracy conversion program Create dashboards in tableau Apply statistical methodologies and data mining skill sets on large volume of data Analyze data and provide insights to senior executives SQL Expertise. Hadoop expertise. Can work in hive, pig etc Create dashboards in tableau and excel Modelling in Excel. Power Pivot expertise a must Understanding of statistics concepts Ability to interpret data and present Excellent written and verbal communication skills

Pay rate range - $60/hr. to $65/hr. on W2 Onsite Required Skills & Experience * 3+ years of data engineering experience * Experience with data modeling, warehousing, and building ETL pipelines * Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS * Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent * Experience with SQL * Experience working on and delivering end-to-end projects independently Preferred Qualifications * Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions * Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) * Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets * Experience with Apache Spark / Elastic Map Reduce * Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java is preferred but not necessary. * Experience with continuous delivery, infrastructure as code, and microservices, in addition to designing and implementing automated data solutions using Apache Airflow, AWS Step Functions, or equivalent Leadership Principals: Deliver Results, Ownership, Learn and be Curious Day to Day: * As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. * You will develop and support the analytic technologies that give our customers timely, flexible, and structured access to their data. * You will be responsible for designing and implementing complex data models to scale research and simulations. * You will work with business customers to understand the business requirements and implement solutions to support analytical and reporting needs. -Partnering with scientists to assist with algorithms and research -Creation of data modules Team projects: for designing and implementing complex data models to scale research and simulations Responsibilities: * As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. * You will develop and support the analytic technologies that give our customers timely, flexible, and structured access to their data. * You will be responsible for designing and implementing complex data models to scale research and simulations. * You will work with business customers to understand the business requirements and implement solutions to support analytical and reporting needs.

Job ID: 24-01426 Job Title: Data Engineer Location: Remote Duration: 10 months Contract Type: W2/C2C Pay Rate Range: $50-$52/Hour Must Have: <ul> <li>SQL, Python, Cloud experience(google).</li> <li>Need to be complete hands-on with writing code</li> </ul> Experience/Qualifications: <ul> <li>2-4 years of professional experience in software/data engineering</li> <li>Reasonable understanding of entity relationships</li> <li>Working grasp of data modelling</li> <li>Good working knowledge of SQL and at least one core programming language (Python, Scala, Java, C#, R, etc.)</li> <li>General understanding of batch and streaming data patterns and technologies</li> <li>Good grasp of TDD and data validation/QA</li> <li>Knowledge of CI/CD practices</li> <li>Exposure to Big Data scenarios and distributed computing tools/frameworks, experience in our tool set a plus</li> <li>Exposure to PaaS offerings in public cloud environments.</li> </ul>

Job ID: 24-06076 Pay rate range - $85/hr. to $88/hr. on W2 Job Description Data Engineer, part of the eCommerce Foundation organization, which serves customers by leading architectural innovation and delivering technology solutions for consumer, digital, and other businesses. The person in this position will play a key role in developing analytical solutions that provide information and insights needed to drive roadmap and investment decisions across the org. In this role, you will build data engineering solutions end-to-end. You will utilize emerging technologies to develop new data infrastructure that is scalable and efficient. You will collaborate with various teams to identify data sources and develop data pipelines that will be leveraged by the BI and Data Science teams for report development and ML modeling. The successful candidate will have experience in managing medium to large-scale data modeling projects. They will enthusiastically seek to employ the new technology where it makes sense, interact with large and disparate data sources, and engage with a variety of tech and business leaders. Basic Qualifications •Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline. •3+ years of experience as a Data Engineer or in a similar role •Experience with data modeling, data warehousing, and building ETL pipelines •Hands-on experience and advanced knowledge of SQL Preferred Qualifications •Masters in computer science, mathematics, statistics, economics, or other quantitative fields •Experience with Apache Airflow to design and implement scalable, fault-tolerant data pipelines •Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy •5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in a company with large, complex data sources. •Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda) •Experience coding for automation (e.g., Python, R) •Experience and proficiency in using Excel

Pay rate range - $85/hr. to $88/hr. on W2

Job Description
Data Engineer, part of the eCommerce Foundation organization, which serves customers by leading architectural innovation and delivering technology solutions for consumer, digital, and other businesses.
The person in this position will play a key role in developing analytical solutions that provide information and insights needed to drive roadmap and investment decisions across the org.
In this role, you will build data engineering solutions end-to-end.
You will utilize emerging technologies to develop new data infrastructure that is scalable and efficient. You will collaborate with various teams to identify data sources and develop data pipelines that will be leveraged by the BI and Data Science teams for report development and ML modeling.

The successful candidate will have experience in managing medium to large-scale data modeling projects. They will enthusiastically seek to employ the new technology where it makes sense, interact with large and disparate data sources, and engage with a variety of tech and business leaders.

Basic Qualifications
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• 3+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Hands-on experience and advanced knowledge of SQL

Preferred Qualifications
• Masters in computer science, mathematics, statistics, economics, or other quantitative fields
• Experience with Apache Airflow to design and implement scalable, fault-tolerant data pipelines
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• 5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in a company with large, complex data sources.
• Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda)
• Experience coding for automation (e.g., Python, R)
• Experience and proficiency in using Excel

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Data Engineer Intelliswift Software, Inc. Jobs

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