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Client: oil and gas company (upstream operator, Houston HQ) · Location: remote, LATAM, Houston business hours · Level: senior · Engagement: full-time contractor You will build the pipelines that move well, production and sensor data from the field into a cloud lakehouse used by engineers and analysts. What you will do • Ingest time-series data from SCADA and historians (OSIsoft PI, OPC UA) alongside ERP and production accounting sources • Build batch and streaming pipelines on Databricks or Snowflake with Spark, Kafka and Airflow • Model data in a medallion architecture for production, drilling and maintenance analytics • Enforce data quality, lineage and access controls • Work with reservoir and production engineers to turn their questions into datasets • Optimize pipeline cost and performance What you bring • 5+ years in data engineering • Strong SQL and Python, plus Spark in production • Experience on Azure or AWS data stacks • Orchestration with Airflow or similar, and dbt for transformations • Experience with high-volume time-series or IoT data • Advanced English Nice to have • Oil and gas domain knowledge (WITSML, PPDM, OSDU) • PI System integration experience • Spanish or Portuguese for work with LATAM operations Originally posted on Himalayas
Sourced from Himalayas. Confirm the details and apply on the employer's site.
