Senior Data Engineer @ Devire

• Experience in designing and building modern data warehouses.
• Practical knowledge of building ETL/ELT pipelines.
• Expert knowledge of relational databases Oracle and PostgreSQL, including database design, construction, and tuning.
• Experience working with Google BigQuery.
• Knowledge of the Informatica PowerCenter tool.
• Experience with event-driven architecture technologies (Kafka, Pub/Sub).
• Advanced knowledge of the Linux system.

Knowledge welcome:

• AutomatenNow
• Python
• AirFlow
• Rust2
• Apache Spark

Your future company

Devire IT Outsourcing is a form of cooperation dedicated to IT specialists, based on the principles of self-employment - B2B, implementing projects for leading Clients undertaking innovative and modern projects.

Currently, for our Client - one of the largest banks in Poland, we are looking for a person for the position of Senior Data Engineer.

• Rate: 120-145 PLN/h net + VAT
• Work model: hybrid (1 day a week from the Warsaw office)

Offer

• B2B contract via Devire.
• Hybrid work (one day a week from the Warsaw office).
• Cooperation in an international environment.
• Benefit package.
• Flexible working hours.
• Long-term cooperation.

,[Design, construction, and development of Data Lake and Data Warehouse class solutions., Design and implementation of IT solutions in the area of data integration and feeding., Data analysis and development of logical and physical models., Optimization and tuning of SQL queries for relational databases and data warehouses in on-premise and Google Cloud Platform (GCP) environments., Design and implementation of online and offline data processing processes using on-premise and GCP tools., Creation of solutions for loading structured and unstructured data using Python and Rust languages., Design and development of thematic Data Marts on relational and columnar databases., Development of concepts and implementation of solutions according to business requirements., Analysis, diagnosis, and resolution of incidents and participation in solving production problems., Support for the testing process and implementation of changes in the data feeding processes area., Maintenance and servicing of implemented solutions and support for their further development., Work according to the DevSecOps methodology.]