Company:IT Services Organization

Key Skills: Python, GCP, Spark, Databricks, Azure, Bigquery

Roles and Responsibilities:

- Design, develop, and maintain scalable batch and streaming data pipelines using Apache Spark and Python.
- Build and operationalize data engineering workloads on Databricks across cloud environments.
- Develop data solutions using services and platform capabilities across Google Cloud Platform and Microsoft Azure.
- Implement data quality controls, transformation logic, error handling, and pipeline recovery mechanisms.
- Collaborate with data analysts, architects, and application teams to deliver governed and production-ready datasets.

Skills Required:

- 6-14 years of relevant experience in data engineering and cloud data platforms.




- Strong professional experience with Apache Spark and Python for large-scale data processing.
- Hands-on experience designing and implementing solutions on Databricks.
- Practical experience with Google Cloud Platform and Microsoft Azure data environments.
- Proficiency in developing, testing, troubleshooting, and supporting production data pipelines and integrations.

Positive to Have:
- Experience with Google BigQuery for analytical data warehousing and query development.

Education: B.Tech or equivalent technical degree.

📌 Data Engineer (Maharashtra)
🏢 MyCareernet
📍 Maharashtra