Overview
Junior Data Engineer specialized in Azure Databricks to build and support data pipelines and Lakehouse-based data architectures.
What you'll do
- Support and evolve existing SQL Server data platforms and ETL solutions.
- Develop and maintain data pipelines using Azure Databricks.
- Build and optimize data transformations with PySpark and Spark SQL.
- Orchestrate ETL/ELT pipelines through Azure Data Factory.
- Integrate data from multiple sources into analytical and data platform layers.
- Maintain data models and data warehouse structures for analytics.
- Collaborate with BI teams to support Power BI and reporting platforms.
What you'll need
- 2+ years of experience in data engineering, data warehouse development, or a related field.
- Experience with Azure Databricks.
- Experience developing data pipelines using PySpark and Spark SQL.
- Understanding of distributed data processing and big data concepts.
- Good SQL skills and experience with SQL Server relational databases.
- Experience building data pipelines using Azure Data Factory.
Nice to have
- Knowledge of Spark optimization techniques such as partitioning, caching, and cluster tuning.
- Familiarity with Power BI and Databricks Structured Streaming.
- Experience migrating from traditional ETL to cloud architectures.
- Familiarity with Delta Lake and Lakehouse architectures.
Details
- Location: Cluj-Napoca, CJ, Romania.
- Work is described as remote by the company.
Read the full description and apply on the company’s own careers page.
