Our Client is seeking a Data Engineer (ETL).
Responsibilities:
- Champions innovative technology solutions to resolve sophisticated business problems
- Works across groups to find opportunities for organization-wide technology initiatives
- Brings external information, ideas, and expertise back to the team
- Identify creative ways to drive desired outcomes and promote culture of innovation by setting examples
- Collaborate with peers through code reviews, pair programming or interactive discussions daily
- Bring a data-driven & collaborative approach to decision making, both in day-to-day work and in making strategic trade-offs.
- Develop, Test, Deploy and maintain ETL Batch Jobs using Apache Spark/EMR Jobs
- Utilize Apache Spark cluster-computing framework to process big data and write to No-SQL Database ex Cassandra or Yugabyte
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field
- Proven track record in data engineering
- 10+ years of experience developing Spark Services for Data movement
- Hands on experience with Java clients for consuming REST and SOAP APIs and Scala spark batch application
- Experience with cloud-based data warehousing and data lake solutions such as Snowflake
- Experience with data storage and data management for large datasets like parquet, HDF5, etc.
- Proven experience in building and deploying software solutions utilizing public cloud provider services like AWS
- Good understanding of the software development process including analysis, design, coding, system and user testing, problem resolution and planning
- Ability to work across multiple squads and adaptable to change
- Embrace customer-first mentality and enjoy developing user-friendly internet facing web applications that tackle real life problems
- Have a passion for following outstanding software engineering practices and always looking to improve your engineering skills and industry knowledge
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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