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Company | Capgemini |
Address | , Universal City, Ca |
Employment type | CONTRACTOR |
Salary | |
Expires | 2023-06-15 |
Posted at | 1 year ago |
Role: - Data Engineer
Location: Los Angeles, CA.
Responsibilities
- Contribute to the design and growth of our Data Products and Data Warehouses around Engagement and Retention Analytics and Data Science
- Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
- Our tech stack includes Hadoop, AWS, Snowflake, Spark and Airflow and languages include Python, Scala
- Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts
- Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
- Maintain detailed documentation of your work and changes to support data quality and data governance
- Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
- Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
Basic Qualifications
- 6+ years of data engineering experience developing large data pipelines
- String Python programming skills
- Strong SQL skills and ability to create queries to extract data and build performant datasets
- H ands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data
Preferred Qualifications
- Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)
- Nice to have experience with Cloud technologies like AWS (S3, EMR, EC2)
- Solid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines
- Good Scripting skills, including Bash scripting and Python
- Familiarity with Data Modeling techniques and Data Warehousing standard meth
- Familiar with Scrum and Agile methodologies
- You are a problem solver with strong attention to detail and excellent analytical and communication skills
Required Education
- Bachelors or Masters Degree in Computer Science, Information Systems or related field
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