Job Description

• 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)

Employment Type

  • Full Time

Details

Employment type

  • Full Time

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