Role: Senior Data Engineer Background: Leveraging data analytics to provide insights and recommendations to drive strategic decision-making collaborating with cross-functional teams, including Finance, Accounting, Operations, HR, and others to deliver accurate and timely financial reporting, dashboards, analytics, and data-driven insights. Key Accountabilities A Senior Data Engineer (Production Support) will be responsible for monitoring, maintaining, and supporting ETL processes, data pipelines, and data warehouse environments. The ideal candidate should have strong troubleshooting skills, hands-on experience with ETL tools, and the ability to quickly resolve production issues to ensure data availability, accuracy, and reliability. \* Monitor and support daily ETL processes, data pipelines, and batch jobs to ensure timely and accurate data delivery. \* Troubleshoot and resolve production issues, job failures, and performance bottlenecks across ETL and data warehouse systems. \* Work Closely with Data platform team to resolve data load issues. \* Perform root cause analysis of recurring issues and implement permanent fixes. \* Collaborate with development teams to transition projects smoothly into production and ensure operational readiness. \* Implement and maintain monitoring, alerting, and logging solutions for proactive issue detection. \* Ensure data quality, consistency, and availability through ongoing validation and health checks. \* Apply best practices for production support, including incident management, change management, and problem management. \* Work closely with business users, data analysts, and other stakeholders to resolve data-related queries. \* Document runbooks, support procedures, and knowledge base articles to streamline production operations. \* Continuously optimize processes for reliability, performance, and scalability in production environments. \* Ensure compliance with data security, access controls, and audit requirements in production systems. Day-to-Day Tasks - Senior Data Engineer (Production Support) Production Support: \* Check system dashboards, logs, and alerts for failures or anomalies. \* Verify data quality and integrity checks (row counts, duplicates, missing data, schema changes). \* Review ETL/ELT job runs, data pipeline executions, and batch processes. \* Validate data loads into staging, warehouse, and downstream systems for critical tables. \* Monitor real-time and scheduled jobs to ensure SLAs are met. \* Investigate and resolve production issues (job failures, data inconsistencies, performance delays). \* Collaborate with business users to resolve data access or reporting issues. \* Coordinate with development/engineering teams for fixes, hot patches, or re-runs of failed jobs. \* Track and document incidents, resolutions, and preventive measures in ticketing systems (e.g., ServiceNow, Jira). \* Participate in daily/weekly operations meetings to report status and highlight issues. \* Handover critical ongoing issues to on-call/offshore support (if applicable). Minor Works/ Maintenance: \* Enhance Existing models with addition of fields as per the requirements. \* Help with Deployments and initial loads during Go-live. \* Perform root cause analysis for recurring or high-severity incidents. Proactive/Preventive Work: \* Fine-tune ETL workflows and SQL queries to improve performance. \* Implement monitoring scripts and automation to reduce manual intervention. \* Restructure the Load plans to improve effeciency. \* Review security and access controls to ensure compliance. \* Update documentation (runbooks, troubleshooting guides, SOPs) for operational continuity. Skills and Capability requirements: \* 6+ years of experience with ETL, data pipelines, and data warehouse production environments. \* Strong expertise in troubleshooting ETL/ELT processes using tools such as Matillion, Informatica, ODI, or SSIS. \* Experience in cloud-based data platforms like Snowflake. \* Proven ability to analyze job failures, perform root cause analysis, and implement permanent fixes. \* Hands-on experience with monitoring, alerting, and logging tools. \* Familiarity with incidents, problem, and change management processes in ITIL-based environments. \* Strong SQL programming and debugging skills with relational and cloud databases. \* Experience with traditional and non-traditional forms of analytical data design (Kimbal, Inmon etc) \* Excellent communication skills to interact with business users, analysts, and cross-functional technical teams. Nice to Have \* Domain knowledge in the area of finance data is preferred. \* Experience with SAP Systems and Databases \* Knowledge of data visualization tools, such as PowerBI or Tableau