Data Engineering

🔹 Key Responsibilities:
• Design and manage complex Control-M job flows, dependencies, calendars & SLAs
• Monitor, troubleshoot, and optimize enterprise batch processing
• Develop and support ETL/ELT data pipelines
• Orchestrate workflows across data warehouses (Snowflake, Redshift, BigQuery, Oracle, SQL Server)
• Integrate with cloud platforms (AWS / Azure / GCP) and services like S3, ADLS, Databricks
• Automate processes using Shell scripting and Python

🔹 Required Skills:
✔ 5+ years of hands-on Control-M development experience
✔ Strong Data Engineering / ETL background
✔ Unix/Linux shell scripting expertise
✔ Strong SQL skills for validation & troubleshooting
✔ Experience in enterprise production environments

💡 Nice to Have: Python, Spark, CI/CD tools (Git, Jenkins, Azure DevOps), cloud data platforms, Control-M certification
If you or someone in your network is interested, please share your resume or DM me for more details.