Opis stanowiska

Our client is an innovative company that has been dynamically contributing to the digitalization processes of enterprises, offering advanced solutions in the areas of Big Data, Kubernetes, cloud services, and microservices technology. Through collaboration with certified partners, such as the Snowflake platform, the company enables its clients to effectively implement and integrate cutting-edge technologies, supporting them in becoming more competitive in the digital market. We are looking for talented IT specialists who would like to join our team and work on digital transformation projects, cloud solution implementations, Kubernetes cluster audits and optimizations, as well as developing platforms for ESG reporting and commission calculation automation. If you are ready for challenges in a rapidly developing industry and want to have a real impact on shaping the future of technology, join us!

Database Engineer (working with PostgreSQL) \n

Co oferujemy

Attractive salary
Clear plan and support for professional development;
Technological and development challenges, including in the areas of data and data analysis;
Benefits package: medical care, insurance, sports card;
Unrivaled working atmosphere.

Twoje zadania

Working on projects based on PostgreSQL, data warehouses, and systems processing very large volumes of information
Co-developing a key banking application responsible for revenue management and stock reconciliation, working in a unique multi-cloud environment (AWS and GCP)
Developing competencies in DWH, data integration, and database solutions
Working on advanced PostgreSQL engine management, including MVCC mechanisms (Xmin/Xmax), Vacuum processes, and the selection of custom indexes such as BRIN

Wymagania

At least several years of experience working with SQL, PL/SQL, or PostgreSQL
Working with structures containing billions of records and terabytes of data, understanding how to ensure their efficient processing
Optimizing queries and long-running processes, even those lasting many hours
Ability to analyze query execution plans and quickly identify bottlenecks
Familiarity with working with stored procedures and the ability to use them effectively
Good knowledge of Python
Ability to handle L2-level performance problem solving
Ability to analyze data and problems from various sources
Ability to analyze system logs and use extensions such as pg_stat_statements to identify blocking processes and bottlenecks.
Knowledge of data partitioning (especially by date) to optimize searches in terabyte-sized tables
Experience working at the L2 level, i.e., solving problems and maintaining processes in a production environment
Very good English skills (B2/C1)

Database Engineer (working with PostgreSQL)

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