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.
Senior Associate Data Engineer contributing to Travelers' analytics landscape by building and operationalizing data solutions. Collaborating with teams to ensure reliable data delivery across the enterprise.
Salesforce Data Engineer serving as a subject matter expert in the State of Tennessee. Designing scalable data pipelines and collaborating on cross - agency initiatives.
Data Engineer Senior responsible for building data architecture and optimizing pipelines for Business Intelligence. Collaborating with analysts to develop insights using Power BI and Azure technologies.
Principal Data Engineer driving modernization from legacy systems to cloud - native platforms at Mastercard. Architecting and developing ETL platforms with AI integration and establishing data - driven strategies.
Principal Data Engineer modernizing cloud - native platforms for AI - powered solutions at Mastercard. Leading teams to enhance data processing efficiency and reliability across global operations.
Data Engineer creating data pipelines for Santander's card transactions. Collaborating with an agile team in strategic projects involving Databricks and PySpark.
Data Engineer designing, implementing, and maintaining data pipelines at Sabiá Gaming. Focused on high - quality data access and integration for enhanced decision - making.
Quantitative Data Engineer developing data solutions and automations for MassMutual's investment management. Working with data orchestration tools within a collaborative team environment.
Senior Data Engineer designing and scaling data infrastructure for analytics, machine learning, and business intelligence in a software supply chain security company.