Hybrid Senior Data Engineer

Posted last month

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About the role

  • Design, develop, and optimize data infrastructure for reliable ingestion and processing of large-scale time-series data.
  • Collaborate with cross-functional teams and communicate results effectively.
  • Enable advanced machine learning and data-driven decisions for renewable energy optimization worldwide.

Requirements

  • **Data Architecture & Strategy:** Lead the design and implementation of robust data architectures and pipelines that support real-time and batch processing of wind and solar datasets.
  • **Data Integration & Transformation:** Oversee the ingestion and harmonization of diverse data sources, ensuring reliability, consistency, and performance.
  • **ETL & Orchestration:** Build, maintain, and optimize ETL/ELT processes with a focus on scalability, modularity, and reusability.
  • **Database Engineering:** Design and manage high-performance data warehouses and time-series databases (e.g., TimescaleDB, PostgreSQL, MySQL).
  • **Quality & Governance:** Implement automated data validation, quality checks, and monitoring systems to ensure integrity across the data lifecycle.
  • **DevOps Collaboration:** Contribute to CI/CD processes and containerization (e.g., Docker) to support robust and agile data delivery.
  • **API Integration:** Develop and maintain interfaces for seamless data access and integration with internal and external systems.
  • **Cross-Functional Collaboration:** Partner with product, analytics, and machine learning teams to understand business needs and translate them into data solutions.
  • **Documentation & Knowledge Sharing: **Promote best practices through comprehensive documentation and mentorship of junior engineers.

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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