Invenergy needs to design, build, and optimize data infrastructure to power enterprise-wide analytics and AI solutions, enabling efficient, reliable, and secure data access for various users and supporting scalable machine learning models.
Requirements
- Proficiency in SQL and working with relational databases (e.g., PostgreSQL, SQL Server).
- Experience with Python or another high-level programming language for scalable data processing and applying software engineering principles.
- Experience with Microsoft Power Platform and Integration tools.
- Experience with ingesting data through third party APIs.
- Experience with cloud data platforms, preferably Azure and Paas Instances.
- Familiarity with Databricks environment.
- Strong understanding of modern data architecture and tools.
Responsibilities
- Work with domain experts across the organization to develop data pipelines and ETL processes to ingest, transform, and curate data from various structured and unstructured sources to support the efforts of the Enterprise Business Analysts and Data Scientists.
- Build and optimize data architecture and processes to support advanced analytics and AI use cases.
- Build automated workflows to reduce manual work and improve efficiency
- Collaborate with data scientists and business analysts to ensure the availability, quality, and usability of data for modeling and reporting.
- Establish and enforce data governance, security, and privacy standards in collaboration with IT and compliance teams.
- Evaluate and adopt emerging technologies to enhance Invenergy’s enterprise data platform and analytics capabilities.
- Effectively communicate technical data concepts to non-technical audiences.
Other
- 4+ years of experience in data engineering, software engineering, or related roles with demonstrated success in production-level data systems; or an advanced degree with 2+ years of directly relevant experience.
- Eligible to work in the United States without the need for employer visa sponsorship now or in the future.
- Experience working in agile development environments and collaborating with cross-functional teams.
- Familiarity with the energy sector.
- Experience on enterprise-wide data team.
