01Overview
ROLE OVERVIEW
As a Senior Software Engineer BODS Support, you will be responsible for ensuring the stability, availability, performance, and operational excellence of enterprise data integration and ETL solutions built on SAP BusinessObjects Data Services (BODS). You will provide Level 2 and Level 3 production support, proactively monitor data pipelines, troubleshoot incidents, perform root cause analysis, and drive continuous improvement initiatives. The role requires strong expertise in SAP BODS operations, ETL support processes, incident and problem management, and collaboration with cross-functional teams to maintain critical business data flows. You will serve as a key contributor in improving platform reliability, operational efficiency, and service delivery excellence across global enterprise data environments.
ROLES & RESPONSIBILITIES
Production Support & Operations
Monitor and support SAP BODS production environments to ensure continuous availability and reliable execution of business-critical ETL jobs
Proactively identify, diagnose, and resolve ETL job failures, data load issues, and system performance bottlenecks
Manage production incidents and service requests while meeting established SLAs and operational KPIs
Perform impact analysis and coordinate resolution activities during major incidents
Support scheduled releases, migrations, and deployment activities across environments
Participate in on-call support rotations when required
Incident & Problem Management
Conduct detailed root cause analysis (RCA) for recurring production issues
Drive permanent fixes and preventative measures to improve platform stability
Collaborate with development, infrastructure, database, and cloud teams for issue resolution
Create and maintain operational runbooks, knowledge articles, and troubleshooting guides
Support change management activities and ensure compliance with organizational processes
Platform Reliability & Continuous Improvement
Analyze ETL processing trends and recommend optimization opportunities
Improve monitoring, alerting, and observability across BODS platforms
Automate repetitive operational tasks to increase support efficiency
Contribute to operational excellence initiatives and platform modernization efforts
Support disaster recovery, backup validation, and business continuity testing activities
Stakeholder Management & Governance
Communicate incident status, risks, and resolutions to business and technical stakeholders
Participate in governance reviews and operational service meetings
Ensure compliance with enterprise security, audit, and data governance requirements
Provide operational reporting, SLA metrics, and service performance dashboards
JOB REQUIREMENTS
Education and Certifications
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field
SAP Certified Application Associate Data Services preferred
ITIL Foundation Certification preferred
Cloud Certifications (AWS, Azure, or GCP) are advantageous
Required Experience
47 years of experience in Data Engineering, ETL Support, or Application Support functions
Minimum 3 years of hands-on experience supporting SAP BODS production environments
Experience in handling enterprise-scale ETL operations and data movement platforms
Strong exposure to incident management, problem management, and service operations processes
Experience supporting business-critical systems within SLA-driven environments
Essential skills
Strong hands-on experience with SAP BODS administration, monitoring, scheduling, and troubleshooting
Expertise in Data Flows, Workflows, Job Server management, Repository management, and Batch Job execution
Strong SQL and database querying skills (Oracle, SQL Server, Snowflake, etc.)
Experience analyzing ETL failures, performance bottlenecks, and data quality issues
Knowledge of Control-M, Autosys, or enterprise scheduling tools
Experience with production monitoring tools and operational dashboards
Understanding of ETL architecture, data warehousing, and data lineage concepts
Strong troubleshooting, root cause analysis, and problem-solving skills
Excellent communication and stakeholder management capabilities
Desired skills
Exposure to cloud-based data platforms such as Snowflake, AWS, Azure, or GCP
Working knowledge of SAP BW, SAP ECC, SAP S/4HANA, or SAP SLT integrations
Familiarity with ServiceNow Incident, Change, and Problem Management processes
Knowledge of monitoring and observability tools such as Splunk, Dynatrace, Grafana, or Datadog Experience in DevOps and CI/CD-enabled ETL deployments
Exposure to AI Ops and predictive operational monitoring capabilities
Understanding of data governance, metadata management, and compliance controls
Experience working in Agile and global support models .