Company:A Large Global Organization

Key Skills: Pyspark, AWS, Databricks, SQL, Data Engineer, Informatica, Git, Datastage, Python, Oracle, Shell

Roles and Responsibilities:

- Develop and maintain automation scripts to improve operational workflows for data platforms.
- Troubleshoot production issues across Databricks and ETL pipelines, ensuring timely resolution.
- Support and optimize data processing jobs using PySpark and SQL in cloud-based environments.
- Collaborate with engineering teams to automate repetitive operational tasks and reduce manual effort.
- Contribute to reliability improvements by identifying recurring incidents and driving corrective actions.

Skills Required:





- 11-13 years of relevant experience in data engineering and operational support for distributed systems
- PySpark for building and maintaining Spark-based data processing workloads.
- AWS experience supporting data platform operations and cloud services.
- SQL expertise for querying, debugging, and validating data pipelines.
- Databricks experience supporting enterprise data engineering and production support.

Positive to Have:
- Informatica experience for ETL development and pipeline support.
- Shell scripting, Oracle, Python, IBM DataStage, and Git for broader platform coverage.

Education: Any Graduation

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