Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
About the role
- Senior Data Engineer with PG&E’s Data Analytics and Insights team. Design and develop data pipelines and analytic products to advance sustainability goals.
Responsibilities
- Work closely with Subject Matter Experts (SMEs) to design and develop data model, data pipelines and front-end applications
- Implement data transformations to derive new datasets or create ontology objects necessary for business applications
- Design and optimize data workflows within Palantir Foundry
- Monitor and debug critical issues such as data staleness or data quality
- Perform impact analysis for ontology or schema changes
- Improve on performance of data pipelines (latency, resource usage)
- Implement data visualizations using Foundry Tools
- Maintain applications as usage grows and requirements change.
- Available for 7x24 operational support.
Requirements
- Bachelors Degree in Computer Science or job-related discipline or equivalent experience
- 5 years experience with data engineering/ETL ecosystems
- Knowledge with commercial visualization tools such as Tableau or Power BI
- Familiarity with common relational database models and proprietary instantiations, such as SAP, Salesforce etc.
- Strong foundation in data modeling, schema design and data quality best practices
- Experience working with cloud technologies (AWS, Azure, or GCP) for data storage, compute, and Integration
- Knowledge of version control / collaboration workflows and best practices
- Familiarity with agile and iterative working methodology
- Excellent communication skills and ability to work cross-functionally with technical and non-technical partners
- Knowledge of Snowflake for data warehousing, including query optimization and cost management
- Familiarity with ETL tools like Informatica (IDMC) for integration workflows
- Knowledge of best practices and applications in UX design
- Data literacy – data analysis and statistical basics to ensure correctness in data aggregation and visualization.
Benefits
- Eligible to participate in PG&E’s discretionary incentive compensation programs
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