Senior Data Engineer Opportunity
As a seasoned data expert, you will collaborate with our team to design and develop scalable data pipelines using cutting-edge technologies like Python, PySpark, and SQL.
* Design efficient data architectures for large datasets
* Work closely with Azure Databricks, Data Factory, and Datalake to deliver reliable cloud-based solutions
* Maintain data models & warehouses that enable Business Intelligence (BI) and reporting
* Ensure data governance, quality, and performance optimization
* Collaborate with analysts, data scientists, and stakeholders to deliver impactful solutions
Key Requirements
* 4+ years of experience in Data Engineering
* Strong expertise in Python, PySpark, and SQL (including performance tuning and Spark internals)
* Hands-on experience with Azure ecosystem: Databricks, Data Factory, Datalake Storage, DevOps
* Solid knowledge of dimensional data modelling and data warehousing principles
* Background in software engineering best practices (OOP, TDD, CI/CD, version control with Git)
* Familiarity with Docker and Kubernetes for containerized applications
* Experience with deployment and monitoring of pipelines in production environments
* Knowledge of Google Analytics data and reporting tools is a plus
What We Offer
* Comprehensive Health Insurance
* Customized Training Academy
* Team Building Events