Strategic Data Model Design and ETL Optimization: Design, build, optimize, and support new and existing data models and ETL processes based on our client’s business requirements.
Robust Data Infrastructure Management: Build, deploy, and manage data infrastructure that can adequately handle the needs of a rapidly growing data-driven organization.
Seamless Data Accessibility and Security Coordination: Coordinate data access and security to enable data scientists and analysts to easily access data whenever they need to.
Requirements & Skills:
Development experience in Big Data software development technologies such as Python, Hadoop, Hive, or Spark.
Proficient background in Unix or Linux programming language.
Good understanding of SQL and RDBMS. Good at modeling data for relational, analytical, and big data workloads.
Provide support for deployed data applications and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
Technical Development experience
Demonstrated client interaction and excellent communication skills; both (written and verbal)
Amenable to working on a client-dictated schedule (Day, Mid, and Night) and Location
