Senior Data Engineer
*This is a hybrid position
Responsibilities:
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Work with a team of developers with deep experience in machine learning, distributed micro services, and full stack systems
- Utilize programming languages like Java, Scala, Python and Open Source
- RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Required Skills/Knowledge/Experience:
- Bachelor’s Degree
- At least 5 years of experience in application development (Internship experience does not apply)
- At least 2 years of experience in big data technologies
- At least 2 years of experience working in an AWS environment (S3/Lambda).
- 5+ years of experience with Python, Spark, and Glue
Preferred Skills/Knowledge/Experience:
- 7+ years of experience in application development including Python, SQL, and Scala.
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 4+ year experience working on real-time data and streaming applications
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 4+ years of data warehousing experience (Redshift or Snowflake)
- 4+ years of experience with UNIX/Linux including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
- Experience with Databricks
- Experience with Building and managing data pipelines
- Experience with Tableau/QuickSight
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