Sr. Data Engineer
2 weeks ago
Location: Richmond/Mclean, VA. (Hybrid)
Duration: 12 Months Contract
Responsibilities:
- Be a part of team designing and building Enterprise Level scalable, low-latency, fault-tolerant data Pipelines that provides meaningful and timely insights
- Build the next generation Distributed Data Pipelines using programming languages like Python
- Be part of a group of engineers building data pipelines using big data technologies (Spark, Snowflake, AWS Big Data Services like Glue) on medium to large scale datasets
- Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Collaborate with digital product managers, and deliver robust cloud-based solutions.
- 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
Preferred Skills:
- AWS (EMR, EC2, Glue, Lambda, S3), Spark, Python, Databricks
- 3+ years of experience in application development including Python, SQL
- 2+ years of experience with a public cloud (AWS)
- 3+ years' experience with Distributed data computing tools (Spark)
- 3+ years of experience with UNIX/Linux including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
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