Position Summary:
We are looking for a savvy Data Engineer to join our growing team of analytics experts. In this role you will work as part of cross functional teams, including data scientists, other data engineers, technology experts, and subject matter experts to develop data driven solutions. Successful candidates will be responsible for building, expanding, and optimizing our data, data storage, and data pipeline. This individual will support team members and decision products to ensure that data delivery is reliable and optimized. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. facilitative leadership this role will help the team continue its history of success. Qualified candidates will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advance smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E’s sustainability goals.
Key Responsibilities:
- Plans work to meet mutually agreed to objectives; reviews progress with team members regularly; documents work in a manner that is aligned with best practices
- Resolves application programming analysis problems of broad scope within procedural guidelines.
- Actively participates in agile/scrum ceremonies (stand ups, planning, retrospectives, etc.)
- Leads data engineering activities on moderate to complex data and analytics-centric problems which have broad impact and require in-depth analysis to obtain desired results.
- Promotes a continuous improvement mindset by engaging in after action reviews and sharing learnings
- Assesses performance of individual data pipeline and broader data systems, suggests and may implement changes as required to meet individual project or enterprise maturity objectives
- Builds and conducts automated and user acceptances tests as part of an iterative development process
- Provides assistance to other programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas. May require creative/non-standard approaches to solve problems that will have significant impact across the company
- Work with team leadership to continually improve data driven decision making at PG&E via demonstrations, mentoring, disseminating best practices, etc.
- Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed with verified data quality and metadata is appropriately captured and catalogued
Required Education & Experience:
- 7 years of experience with data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
- Experience leading development teams
- Expressed interest in learning, experimentation, and incorporation of new techniques
- Involvement or strong interest in the energy/clean tech industry
- Experience with multiple data engineering/ETL ecosystems.
- Proven track record of successfully implementing data warehouses/data lakes over previous five years.
- BA/BS or equivalent experience in appropriate technical discipline (Computer Science, Management Information Systems or related field of study)
- Experience with machine learning algorithm deployment including cloud based Dev Ops and ML Ops.
- Ability to adapt to and improve existing processes
- Experience with relevant project management tools (Jira, Asana, etc.), version control tools (Git, Bitbucket. etc.), data science and machine learning tools/infrastructure (AWS suite of products, Jupyter, etc.), and methodologies (Agile, Design thinking, Kanban, etc.)”
- Proven ability to translate business desires into technical requirements
- Demonstrated commitment to teamwork and enabling others
- History of working on complex multi-stage projects with a diverse team