Senior Data Engineer

Overview

The Senior Data Engineer – BAU Operations & Support will manage and support enterprise data platforms, ETL pipelines, regulatory reporting solutions, and cloud-based data services. The role focuses on platform stability, production issue resolution, data quality, release support, and operational excellence.

What you'll do

• Monitor and support ETL jobs, batch processes, and data pipelines.
• Investigate and resolve production incidents within agreed SLAs.
• Conduct root cause analysis (RCA) and implement preventive fixes.
• Support Incident, Problem, Change, and Service Request management processes.
• Participate in on-call and operational support rotations as required.
• Support data warehouses, lakehouses, reporting, and regulatory data platforms.
• Troubleshoot failures across databases, ETL tools, APIs, and cloud services.
• Validate data loads, reconciliations, and downstream data availability.
• Ensure platform reliability, performance, and operational readiness.
• Monitor application health, data pipelines, and infrastructure performance.
• Manage alerts, dashboards, and observability tools.
• Proactively identify and automate recurring operational issues.
• Maintain service availability and operational KPIs.
• Support production deployments and release activities.
• Perform post-release validations and health checks.
• Collaborate with engineering teams during hypercare and transitions.
• Monitor data quality controls and investigate data issues.
• Support regulatory, audit, security, and governance requirements.
• Maintain support documentation, runbooks, and knowledge repositories.
• Develop automation scripts to reduce manual effort.
• Improve monitoring, recovery, and operational processes.
• Drive service stability, efficiency, and operational excellence.

What you'll need

• 4-8 years' experience in Data Engineering, Data Operations, or Production Support.
• Strong SQL and troubleshooting skills.
• Experience supporting enterprise data platforms and ETL processes.
• Knowledge of incident, problem, and change management.
• Strong analytical, communication, and stakeholder management skills.
• Technical experience with SQL Server, Oracle, PostgreSQL, and Snowflake.
• Experience with Azure Data Factory, SSIS, Informatica, and Airflow.
• Experience with Microsoft Azure, Synapse Analytics, and Azure Storage.
• Programming skills in SQL, Python, PowerShell, and Shell Scripting.
• Experience with ServiceNow, Jira, Splunk, Dynatrace, Grafana, and Azure Monitor.
• Experience with production support and incident management.
• Experience with data pipeline troubleshooting.
• Experience with Root Cause Analysis (RCA).
• Experience with data quality and reconciliation.
• Experience with ITIL Service Management.
• Experience with regulatory reporting support.

Nice to have

• Banking or Financial Services experience.
• Regulatory reporting platform support.
• Exposure to Snowflake, Databricks, and Azure Data Platforms.
• ITIL Foundation certification.

Details

• Location: India.
• Hybrid working.
• Participate in on-call and operational support rotations as required.