Senior Data Engineer (energy, #TSCM-42680, TSCM-43475, TSCM-43477, TSCM-43476), JR247, JR248
Some ghost-posting signals
- open for 248 days (90+ without a fill is a strong ghost signal)
- 41 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
REQUIREMENTS
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
RESPONSIBILITIES
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
WHAT WILL YOU GET WITH ELEKS
Close cooperation with a customer
Challenging tasks
Competence development
Team of professionals
Dynamic environment with a low level of bureaucracy
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