Requirements

Expected technologies

SQL

Databricks

Python

PySpark

Git

CI/CD

Optional technologies

Azure Data Factory

Azure Synapse

Operating system

Windows

Our requirements

• Commercial experience in Data Processing using : Azure data engineering technological stack ( Databricks, Data Factory, Synapse ), experience with PySpark, database procedural language ( for ex.: T-SQL, PL/SQL ),
• Min. 2 years of experience in Data Engineering/Data Analytics/Data Processing,
• Very good knowledge of SQL,
• Knowledge of Version Control tools,
• Good knowledge of English in speaking and writing (B2/C1),
• Team player with good communication skills,
• Readiness to work from the office in Gdańsk min. 2 days a week.

Optional

• Experience with ETL tools ( for ex.: Microsoft SSIS, Oracle ODI, Kettle ETL, Informatica ),
• Database operations experience ( partitioning, index/statistics maintenance, performance analysis ),
• General knowledge of Unix/Linux systems,
• Knowledge about Agile/Scrum methodologies.

Your responsibilities

• Analyze business requirements in the area of Data Engineering,
• Analyze issues related to inappropriate data,
• Propose technical solution in the form of new or changed database structures and processes,
• Develop the proposed solution,
• Prepare the development to the deployment,
• Documentation maintenance.