Informacje o stanowisku
ELEKS Software Engineering and Development Office is looking for a Senior Data Engineer in Poland, Croatia or Ukraine.
ABOUT PROJECT
We’re growing our team at ELEKS in partnership with a company, the UK’s largest renewable power generator, primarily using sustainable biomass and hydroelectric power.
WHAT YOU WILL GET WITH ELEKS
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucracy
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
ELEKS Software Engineering and Development Office is looking for a Senior Data Engineer in Poland, Croatia or Ukraine.
ABOUT PROJECT
We’re growing our team at ELEKS in partnership with a company, the UK’s largest renewable power generator, primarily using sustainable biomass and hydroelectric power.
WHAT YOU WILL GET WITH ELEKS
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucracy
,[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 Requirements: Data engineering, SQL, Data Lake, Data science, Machine Learning, Data pipelines, Security, Data mapping, Databricks, Python, Power BI, AWS, AWS S3, Redshift, Athena, Glue, AWS Lambda
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