Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Engineer designing, developing, and evaluating jobs for data extraction at PG&E. Collaborating with teams to implement technology for electric grid reliability.
Responsibilities
- Designs, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by stakeholders.
- Collects metadata about jobs including data lineage and transformation logic.
- Works with teams, clients, data owners, and leadership throughout the development cycle practicing continuous improvement.
Requirements
- Bachelors Degree in Computer Science or job-related discipline or equivalent experience
- Masters Degree in Computer Science or job-related discipline or equivalent experience (desired)
- 1 year of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS or OBIEE.
- Experience with data engineering and data transformations via a training or apprenticeship program acceptable.
- Business Intelligence and data access tool knowledge.
- Knowledge of software engineering principals such as unit testing, CI/CD, source control.
Benefits
- This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
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