ETL Developer with Databrics @ eConsulting
Workplace: Mostly remote, ocassional visits in Warsaw
Workload: Full-time
Contract type: Contract of Mandate / B2B
We are looking for an independent ETL Developer with strong experience in Databricks who can design, build, and optimize scalable data pipelines. This role requires a high level of ownership, technical decision-making capability, and the ability to work with minimal supervision.
What do we offer?
- Benefits package (private medical care, sports card, group insurance).
- Free English lessons with a dedicated teacher.
- Access to an extensive training library covering both soft and technical skills.
- Sports activities outside of work.
- Team-building events, competitions, and challenges.
Required Skills & Experience
- 3+ years (Regular) experience in data engineering or ETL development
- Hands-on Databricks experience (PySpark, Spark SQL)
- Experience with cloud platforms (Azure preferred, AWS/GCP acceptable)
- Knowledge of Data Lake / Lakehouse architecture
- Strong problem-solving skills and ability to work independently
- Version control experience (Git).
Workplace: Mostly remote, ocassional visits in Warsaw
Workload: Full-time
Contract type: Contract of Mandate / B2B
We are looking for an independent ETL Developer with strong experience in Databricks who can design, build, and optimize scalable data pipelines. This role requires a high level of ownership, technical decision-making capability, and the ability to work with minimal supervision.
What do we offer?
- Benefits package (private medical care, sports card, group insurance).
- Free English lessons with a dedicated teacher.
- Access to an extensive training library covering both soft and technical skills.
- Sports activities outside of work.
- Team-building events, competitions, and challenges.
,[Design, develop, and maintain scalable ETL/ELT pipelines using Databricks (PySpark, Spark SQL). , Integrate and transform data from multiple sources (databases, APIs, flat files, streaming). , Optimize data pipelines for performance, scalability, and reliability. , Manage and structure data in Data Lake / Lakehouse environments (Bronze/Silver/Gold layers). , Implement data quality checks, validation frameworks, and ensure consistent data delivery. , Translate business requirements into technical solutions and propose architecture improvements. , Monitor, troubleshoot, and maintain ETL jobs, ensuring smooth operation and minimal downtime. ] Requirements: ETL, Databricks, Data pipelines, SQL, Data Lake, Data engineering Additionally: Sport Subscription, Private healthcare, English lessons, Life & group insurance, Integration events.