- Independently design, build and launch new data extraction, transformation and loading processes in production.
- Mentor others and introduce the team to novel methods, efficient queries, programming tools.
- Collaborate with a variety of technical and nontechnical stakeholders (including attorneys, engineers, and data scientists) to understand and identify data needs, understand business problems and implement and maintain any logging required.
- Work with colleagues in data infrastructure to triage and resolve issues and maintain integrity of data pipelines.
- Keep stakeholders informed of progress and resolution on key issues.
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
- Advance Data Engineering best practices within the team.
- Share and contribute to development of documentation, protocols and procedures, training guides, workflows, etc.
- Requires a Master’s degree in Computer Science, Computer Engineering, Information Technology or a related field and 12 months of experience in the job offered or in a related occupation
- Requires 12 months of experience involving the following:
- Data engineering
- SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
- Distributed computing (Hive/Hadoop)
- Using version control systems (e.g. Git/Mercurial)
- Initiating and driving projects to completion with minimal guidance
- Conceptualizing and owning the data architecture for multiple large-scale projects while evaluating design and operational cost-benefit tradeoffs within systems
- Owning existing processes running in production, and optimizing complex code through advanced algorithmic concepts
- Working with PB scale data
- and Working cross-functionally and communicating technical content to general audiences
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