Key Skills: Data Engineer, Azure Databricks, Spark, Python

Roles and Responsibilities:

- Design and develop scalable data engineering solutions using Apache Spark and Azure Databricks.

- Build robust data processing workflows for large-volume and complex datasets.

- Develop reusable data transformation components and support enterprise data platform initiatives.

- Troubleshoot data processing issues and improve reliability, throughput, and maintainability of Spark workloads.

- Collaborate with engineering and data teams to deliver production-ready data solutions.

Skills Required:

- 9-14 years of relevant experience in data engineering and big data platform development.





- Robust hands-on experience with Apache Spark for distributed data processing.

- Extensive experience with Azure Databricks and enterprise data engineering platforms.

- Demonstrated experience working as a Data Engineer on large-scale data solutions.

- Ability to design scalable data processing solutions and implement reliable data pipelines.

Good to Have

- Professional experience developing data engineering solutions with Python.

Education: Bachelor's or master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Big Data Engineer (Bengaluru)
🏢 Careernet
📍 Bengaluru