Data Engineer â Grid Innovation Applications
Data Engineer â Grid Innovation Applications
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Job Description
Job Description Summary
GE Vernova is accelerating the path to more reliable affordable and sustainable energy while helping our customers power economies and deliver GE Vernova is accelerating the path to more reliable affordable and sustainable energy while helping our customers power economies and deliver the electricity that is vital to health safety security and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the worldWe are seeking a dynamic forwardthinking and resultsdriven Data Engineer to join our Grid Innovation team. This role focuses on designing building and maintaining the infrastructure and data pipelines that enable effective data collection processing storage and analysis for cuttingedge AI/ML applications in the energy domain.
Experience in the energy sector smart infrastructure or industrial automation is fundamental as this role supports AIdriven innovation in missioncritical systems with high regulatory and operational complexity.
As part of the CTO organization reporting to the AI Leader you will work closely with Grid Automation (GA) product lines R&D teams product management and other GA functions. You will also support crossfunctional initiatives by developing scalable and unified data frameworks to address critical customer problems and enable rapid prototyping and deployment both at the edge and in the cloud.
Job Description
Essential Responsibilities:
- Design and maintain database architectures schemas and data models tailored to grid innovation and energy system applications.
- Utilize efficient data storage technologies (e.g. Relational Databases Data Lakes NoSQL) to ensure scalable and secure data access.
- Build optimize and maintain reliable data pipelines for data ingestion cleaning transformation and feature extraction from structured and unstructured sources.
- Develop and manage integrations with internal and external data sources and APIs to enable seamless data flow.
- Identify new and relevant datasets to improve product capabilities and decisionmaking across the business.
- Automate data integration and transformation workflows for diverse data formats and operational needs.
- Monitor performance and scalability of data systems and implement enhancements to increase efficiency and reliability.
- Apply data governance policies and implement data quality checks to ensure data integrity across systems.
- Collaborate with Data Scientists ML Engineers and other technical stakeholders to deliver relevant readytouse datasets.
- Work closely with product management and R&D teams to gather requirements and develop innovative data solutions that support product development.
MustHave Requirements:
- PhD Masters or Bachelors degree in Computer Science Electrical/Computer Engineering or a related field with a focus on data engineering or electric power engineering.
- Proven experience in the energy sector smart infrastructure or industrial automation such as electric power systems smart grids connected buildings utilities SCADA/PLC systems or Industry 4.0 platforms
- Significant experience in data engineering with handson expertise in building and managing data pipelines.
- Proficiency in Python SQL and at least one other programming language commonly used in data engineering (e.g. Scala Java).
- Experience with relational databases (e.g. PostgreSQL) and NoSQL databases (e.g. MongoDB Cassandra).
- Familiarity with cloud platforms like AWS Azure or GCP for deploying and managing data systems.
- Extensive experience with ETL processes (Extract Transform Load) and automating data pipeline workflows.
- Effective communication skills with the ability to collaborate smoothly with crossfunctional teams and resolve conflicts to work in a dynamic multitasking environment with the ability to address evolving challenges.
NicetoHave Requirements:
- Several years of experience in data engineering or a related field with expertise in designing scalable data solutions.
- Familiarity with big data technologies like Hadoop Kafka or Spark for processing largescale data.
- Experience with data visualization tools such as Tableau Power BI or similar platforms for building reports and dashboards.
- Handson experience with GraphDB SQL/NoSQL databases and data warehousing technologies like Snowflake or Redshift.
At GE Vernova Grid Automation you will have the opportunity to work on cuttingedge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.
About GEV Grid Solutions:
At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.
Why we come to work:
At GEV our engineers are always up for the challenge and were always driven to find the best solution. Our projects are unique and interesting and youll need to bring a solutionfocused positive approach to each one to do your best. Surrounded by committed loyal colleagues if you can dare to bring your ingenuity and desire to make an impact youll be exposed to gamechanging diverse projects that truly allow you to play your part in the energy transition.
What we offer:
A key role in a dynamic international working environment with a large degree of flexibility of work agreements
Competitive benefits and great development opportunities including private health insurance.
Additional Information
Relocation Assistance Provided: No
Employment Type
Full-Time
