Principal Data Engineer designing and developing innovative data analytical solutions for the gaming industry. Leading and mentoring while engaging with clients to fulfill their data engineering needs.
About the role
- Data Engineer designing and building data pipelines for PG&E's reliability initiatives. Engaging in continuous improvement and collaborating with various stakeholders in hybrid role.
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
- Assembles large, complex sets of data that meet non-functional and functional business requirements
- Builds high-performance data pipelines and prototypes that enable business use of the data
- Builds infrastructure for optimal extraction, transformation and loading of data from various data sources
- Understands business requirements and applies them to complex software engineering and analysis
- Communicates (oral and written) recommendations with peers inside the department
- Partners with team members to understand and incorporate standards information and requirements into work procedures
- Identifies and analyzes to departmental standards, norms, and new goals/objectives
- Assists in data, design, product, and executive teams with data-related technical issues
- Understands the infrastructure that allows big data to be accessed and analyzed
- Utilizes department standard issue tracking, source control, and documentation tools.
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 preferred
- 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 principles 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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