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The Data Lake Development Lead will lead team of data engineers, report developers, and functional analysis in the creation, maintenance, and enhancement of an Enterprise AWS Data Lake.

The Work:

• Lead the overall data lake design and development effort
• Incorporate availability, data quality, and data availability into overall data lake design
• Design and manage the deployment and code versioning for the data lake
• Translate business needs into a system design adhering to an Agile delivery framework with technical requirements
• Design, build and test the conversion of JSON data files into Parquet entities for Data Lake development
• Develop and test dimension and fact tables. Ensure tables adhere to data governance standards and naming conventions
• Convert Oracle queries SQL developer into Athena views to serve as the data sources for Tableau reports
• Execute testing plans ensuring data integrity and operational efficiency.
• Complete all required product documentation

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Qualifications

Here Is What You Need:

• Bachelors Degree or 5 years of equivalent industry experience
• Experience with ETL or data modeling
• Experience with architecting or solutioning
• Experience in estimating work or defining an implementation plan
• Experience in architecting and building scalable data platforms processing data
• Experience with one Cloud Technology (ex: AWS, Azure, Google, etc.)
• Experience with at least one SQL language such as T-SQL or PL/SQL

Bonus Points If:

• Advanced Degree
• 10+ years of industry experience
• Production implementation experience for all qualifications listed
• Production experience in building real-time analytics applications.
• Experience in both batch and stream processing technologies
• Experience with Java or Scala programming languages.
• Machine learning experience with Spark or similar Ability to manage numerous requests concurrently and be able to prioritize and deliver
• Good communication skills and dynamic team player

The Extras:

• US Citizenship Required

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