• Production Support and Maintain analytics technology ecosystem (Big Data, ETL and BI tools)
• Advises on performance optimizations and standard methodologies for scalable data models, pipelines and queries.
• Uses the right tools for the right job to deliver testable, maintainable, and modern data solutions
• Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
• Own and document data pipelines and data lineage
• Identify, document and promote standard methodologies
Requirements
• BS degree in Computer Science or Engineering field.
• 2+ years’ work experience showing growth as a Data Engineer.
• Experience in dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL pipelines .
• Deep understanding of relational as well as big data setup.
• Proficiency with programming languages (e.g. Python)
• Problem solver with good interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
• Hands-on experience with Data Warehouse technologies and Big Data technologies (e.g Hadoop, Hive, Spark)