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Mid-level generalist data role with common skills and 4-6 years raises applicant density.
Core data engineering skills are highly transferable across industries.
Explicit 4-6 years requirement plus DW/ETL and SQL mandates moderate filtering.
Design and develop data pipelines to ingest data from source systems into the data warehouse.
Support and optimize existing data pipelines to meet downstream SLAs.
Ensure data quality and adherence to data engineering standards including code versioning, readability, testing, deployment, and support within an Agile Tribe environment.
Bachelor’s degree in IT-related fields such as Computer Science or Information Technology.
4-6 years of experience in IT project delivery or data development, specifically in Data Warehousing or Business Intelligence.
Strong SQL and ETL development experience related to Data Warehousing or Business Intelligence.
Experience with Big Data technologies and cloud environments is preferred but not mandatory.
Experienced in end-to-end data pipeline development and optimization within Agile teams.
Knowledgeable in data quality management and engineering best practices across code deployment and support.
Familiarity with technologies such as AWS data integrations (Glue, Athena), Spark, Kafka, and related Big Data/cloud tools indicates higher competitiveness.