Data Engineer

The primary objective of the Data Engineer role is to enhance the organization's analytical capabilities by developing and managing SQL-based data solutions on the Databricks platform. This position aims to ensure robust data modeling and transformation processes that meet business needs.

Responsibilities:

• Develop and maintain SQL-based data pipelines and transformation logic on Databricks.

• Design, implement, and optimize star and snowflake schemas for analytical workloads.

• Write and tune advanced SQL queries for reporting, aggregation, and data validation.

• Collaborate with data engineers and analysts to ensure data models meet business needs.

• Work with structured and semi-structured data from multiple sources.

• Contribute to improving data quality, performance, and maintainability.

Must Haves:

• Solid experience with SQL (including analytical functions, joins, subqueries, CTEs, window functions, etc.).

• Practical experience with Databricks, Spark, SQL, or similar distributed SQL engines.

• Strong understanding of data modeling principles, particularly star and snowflake schemas.

• Experience with relational databases (e.g., PostgreSQL, SQL Server, or similar).

• Familiarity with ETL/ELT concepts and best practices.

• Ability to work independently and collaboratively within a data team.

Nice to Haves:

• Exposure to dbt, Delta Lake, or data warehousing concepts.

• Experience with cloud platforms (Azure, GCP, or AWS).

Other Details:

• Location: Poland, Remote

• Team Structure: Collaborates with data engineers and analysts