Junior DataBricks Engineer

We are looking for a Junior Data Engineer specialized in Azure Databricks to join our data platform team.

The candidate will develop and support modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments. The role offers an opportunity to learn and grow within a modern cloud data ecosystem while contributing to analytics and business intelligence initiatives.

Key responsibilities:

• Support and evolve existing SQL Server data platforms and ETL solutions
• Develop and maintain data pipelines using Azure Databricks
• Build and optimize data transformations using PySpark and SQL in Databricks
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory
• Integrate data from multiple sources into the data platform and analytical layers
• Maintain data models and data warehouse structures for analytics
• Ensure data quality, scalability, and performance of large-scale data processing pipelines
• Collaborate with BI teams to support Power BI and reporting platforms
• Participate in the implementation of modern cloud-based data architectures under guidance from senior team members

Qualifications

• 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
• Exposure to data processing and performance optimization concepts

Nice to have

• Knowledge of Spark optimization techniques (partitioning, caching, cluster tuning)
• Familiarity with Power BI and Databricks Structured Streaming
• Experience in migrating from traditional ETL process to cloud architectures 
• Familiarity with Delta Lake and Lakehouse architectures

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and collaboration skills
• Team player with a proactive mindset
• Eager to learn and continuously develop technical expertise
• Adaptable and comfortable working in dynamic environments