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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