Middle/Senior Data Engineer #38400 @ ELEKS (práce v Polsku)

Middle/Senior Data Engineer #38400 @ ELEKS

Polsko

• Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 3+ years
• Hands-on experience with Databricks 2+ years
• Experience with Python
• 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 Middle/Senior Data Engineer in Ukraine, Poland and Croatia.

ABOUT PROJECT
The customer is a British company producing electricity with zero carbon emissions.

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

ABOUT ELEKS

ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991.

Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D, design, technology consulting and dedicated teams.

,[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: Python, Databricks, Snowflake, SQL, ETL, AWS, SDLC, pandas, PySpark, Spark SQL Additionally: Private healthcare, International projects.

Kategorie

data

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