Senior Data Engineer (energy, #TSCM-42680, TSCM-43475, TSCM-43477, TSCM-43476), JR247, JR248

• Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects • End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices • Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management • Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination

• Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years • Hands-on experience with Databricks 2+ years • Experience with Python • Experience with Power BI is nice to have • Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.) • Knowledge of the Energy industry (e.g. energy trading, utilities, power systems etc.) would be a plus • Experience with Geospatial data would be a plus • At least an Upper-Intermediate level of English