Data Engineer
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The role
Senior Data Engineer with 14+ years of experience, responsible for architecting and validating large-scale data solutions.
Design, ingest, and transform data from diverse sources with variable quality to deliver accurate, timely insights for decision-makers.
Build reusable libraries and frameworks to boost team productivity and enable rapid data-driven decisions.
Optimize, monitor, and maintain data pipelines and platforms to improve data quality, efficiency, and reliability.
Leverage Snowflake, S3/Data Lake, Parquet, Iceberg, and DBT, with Python-based orchestration; optional exposure to Dataiku or Dremio.
Target very large datasets (5-10 billion records, ~200 columns) with a focus on scalability and production-grade data engineering.
Design, ingest, and transform data from diverse sources with variable quality to deliver accurate, timely insights for decision-makers.
Build reusable libraries and frameworks to boost team productivity and enable rapid data-driven decisions.
Optimize, monitor, and maintain data pipelines and platforms to improve data quality, efficiency, and reliability.
Leverage Snowflake, S3/Data Lake, Parquet, Iceberg, and DBT, with Python-based orchestration; optional exposure to Dataiku or Dremio.
Target very large datasets (5-10 billion records, ~200 columns) with a focus on scalability and production-grade data engineering.
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