Data Engineer (Azure Databricks)

Miratech

1d•Remote

About The Position

We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence.

Requirements

3+ years of experience in Data Engineering or Data Warehouse development
Strong experience with Azure Databricks
Experience developing data pipelines using PySpark and Spark SQL
Solid understanding of distributed data processing and big data concepts
Experience working with Delta Lake and Lakehouse architectures
Strong SQL skills and experience with SQL Server relational databases
Experience building data pipelines using Azure Data Factory
Experience handling large datasets and performance optimization

Nice To Haves

Experience with Spark optimization techniques (partitioning, caching, cluster tuning)
Experience with structured streaming in Databricks
Knowledge of CI/CD pipelines for data platforms (Azure Devops)
Familiarity with Power BI
Experience in migrating from traditional ETL process to cloud architectures

Responsibilities

Design, develop, and maintain data pipelines using Azure Databricks
Build and optimize data transformations using PySpark and SQL in Databricks
Implement and maintain Lakehouse architectures using Delta Lake
Develop ETL/ELT pipelines orchestrated through Azure Data Factory
Integrate data from multiple sources into the data platform and analytical layers
Design and 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
Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required
Contribute to the design of modern cloud-based data architectures