Senior Data Engineer, Data Lakehouse Infrastructure
TRM LabsFull Time
Senior (5 to 8 years)
Candidates should have 3+ years of professional data engineering experience, including proficiency in SQL, Python, DBT, Kafka, and Gitlab. Experience with relational databases, strong attention to detail, analytical capabilities, and comfort with the Unix/Linux command line are also required. An undergraduate degree in Computer Science is necessary, and experience with cloud data warehouses like Snowflake, Redshift, or BigQuery, and creating data visualizations is highly valued.
The Data Engineer II will design and build ELT/ETL processes and connectors using Python, DBT, and Flink to integrate data sources into the data warehouse. They will assist in creating dimensions and facts within a starflake schema, develop DBT DAGs to populate tables, and document data models and transformations. Responsibilities also include creating reports and dashboards in Looker, collaborating with other engineers and leadership to build and deploy features, and maintaining a high-quality codebase.
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