Data Engineer - APIs, Dashboards & Data Pipelines

Luxoft; Województwo pomorskie; On-site; PLN 40,000 - 70,000; Full time

Job summary

Luxoft is seeking a data-focused developer in Poland, Województwo pomorskie, to join their technology team. The role involves developing scalable web applications with a focus on high-quality user interfaces and data integration from various sources.

The ideal candidate will have strong SQL and Python skills, experience with cloud platforms like AWS, and an understanding of data pipelines. Responsibilities include supporting dashboards, developing reports, and ensuring data accuracy.

Responsibilities

• Provide operational support for existing reports/dashboards.
• Participate in analysis, design, development, testing, deployment and support of dashboards and reports.
• Perform data integration into the tool, maintenance and support.
• Perform impact analysis and validation of existing production reports and universes after application and database upgrade.
• Implement industry BI standards and best practices.
• Proactively identify problems/issues/risks and provide solutions.

Skills

Strong SQL skills (joins, aggregations, debugging complex queries)

Python or similar scripting language

Experience with cloud data platforms (AWS preferred: S3, Athena, Glue)

Understanding of data pipelines / ETL concepts

Git / version control experience

Strong analytical problem-solving

Ability to debug data issues end-to-end

Clear communication with technical and non-technical stakeholders

Tools

PySpark

Airflow

Job description

Luxoft is seeking a data-focused developer in Poland, Województwo pomorskie, to join their technology team. The role involves developing scalable web applications with a focus on high-quality user interfaces and data integration from various sources.

The ideal candidate will have strong SQL and Python skills, experience with cloud platforms like AWS, and an understanding of data pipelines. Responsibilities include supporting dashboards, developing reports, and ensuring data accuracy.