Data Engineer III

The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units. Responsibilities include: Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse Design and implement data quality pipelines to ensure data correctness and building trusted datasets Design and implement a Data Lakehouse solution which accurately reflects business operations Assist with data platform performance tuning and physical data model support including partitioning and compaction Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives The successful candidate will meet the following qualifications: 5+ years of experience as a Data Engineer designing and maintaining data pipeline architectures 5+ years of programming experience in Python, ANSI SQL, PLSQL, and TSQL Experience in various data integration patterns including ETL, ELT, Pub/Sub, and Change Data Capture Experience with common Python Data Engineering packages including pandas, Numpy, Pyarrow Pytest, Scikit-Learn, and Boto3 Experience in software development practices such as Design Principles and Patterns, Testing, Refactoring, CI/CD, and version control Experience in implementing a Data Lakehouse using Apache Iceberg or Delta Lake Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object Storage Experience with Dremio and Airbyte is preferred