Job Description

We are looking for a Data Engineer to design and maintain modern data solutions built on Databricks, PySpark, and Microsoft Azure. The role focuses on developing scalable data platforms and supporting business use cases with reliable data pipelines.

Your responsibilities

Design, build, and maintain scalable data pipelines
Develop data processing and transformation workflows
Support data ingestion from multiple sources into cloud environments
Ensure performance, reliability, and data quality across solutions
Collaborate with business and technical stakeholders to translate requirements into data solutions
Contribute to documentation and continuous improvement of data processes
Work in a distributed team environment, focusing on product and business goals

Our requirements

Minimum 3 years of experience in Data Engineering
Strong hands on experience with PySpark (DataFrames, SparkSQL