Company:IT Services Organization

Key Skills: Databricks, Python, Spark, Kubernetes

Roles and Responsibilities:

- Design, develop, and maintain batch and near-real-time data pipelines using Apache Spark, Python, and Databricks.
- Build scalable data engineering solutions across Microsoft Azure and Google Cloud Platform environments.
- Develop data transformations, ingestion workflows, and curated datasets for reporting and analytical workloads.
- Troubleshoot data pipeline failures, improve reliability, and resolve data quality and processing issues.
- Collaborate with data architects, analytics teams, and application engineers to deliver production-grade data platforms.

Skills Required:

- 6-14 years of relevant data engineering experience.




- Solid hands-on experience with Apache Spark and Python for distributed data processing.
- Practical experience developing solutions using Databricks.
- Experience designing cloud-based data engineering solutions on Azure or Google Cloud Platform.
- Ability to develop scalable data pipelines, integrations, transformations, and analytical data stores.

Good to Have:
- Experience with Kubernetes and containerized data workloads.

Education: B.Tech, M.Tech, BCA, or B.Sc. in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Azure Data Engineer (Maharashtra)
🏢 MyCareernet
📍 Maharashtra