Design and optimize scalable ETL/data pipelines on Azure Databricks and collaborate with cross-functional teams to deliver effective data solutions.
We are looking for a seasoned Data Engineer to join our growing team.
Requirements
- 4+ years of experience in Data Engineering.
- Proven experience building and optimizing scalable ETL/data pipelines, preferably on Azure Databricks
- Experience with Azure Data Factory, Databricks, and PySpark
- Solid experience integrating multiple data sources into data lakehouse / data warehouse architectures
- Strong SQL skills, including designing data models and SQL Warehouse views
- Experience translating business requirements into scalable and reliable data solutions/products
- Experience working with cloud-based data platforms (preferably Azure)
- Strong problem-solving skills with the ability to troubleshoot and optimize data pipelines
- Understanding of data quality, performance optimization, and reliability best practices
- Experience working in cross-functional teams and delivering data solutions in a timely manner
Responsibilities
- Design, build, and optimize scalable ETL/data pipelines on Azure Databricks
- Automate data workflows using Azure Data Factory, Databricks, PySpark, and related Azure services
- Integrate diverse data sources into data lakehouse and data warehouse solutions to enable advanced analytics
- Design SQL Warehouse views and data models for downstream consumption and analytics use cases
- Translate complex business requirements into scalable, reliable data products
- Enhance, troubleshoot, and maintain cloud‑based data pipelines to ensure performance, reliability, and data quality
- Collaborate with cross‑functional teams and contribute to timely delivery of data solutions
What we offer
- Flexible work arrangements.
- 20 working days per year as Non-Operational Allowance for personal recreation, fully compensated.
- Collaborative and supportive team culture.
- Truly competitive salary.
- Supportive HR and management team.
