Job Title: Senior DataStage Developer & Support Specialist

Experience: 6+ Years

Location: Pan India

Shift: Night Shift

Job Summary:

We are looking for a highly skilled Senior DataStage professional with 6+ years of experience in ETL development and support. The ideal candidate will have expertise in IBM InfoSphere DataStage along with strong knowledge of Snowflake, Databricks,DB2 or other SQL-based databases. The candidate will be working on the project and must be willing to work in US/night shifts to collaborate effectively with global teams.

Key Responsibilities:

Key Responsibilities

- Define the enterprise data engineering architecture and technology standards across DB2, SQL Server, IBM DataStage, IBM Workload Scheduler, Oracle GoldenGate, Collibra and AWS
- Lead the multi-year platform modernization roadmap phased migration from legacy on-premises patterns to cloud-native AWS data engineering patterns
- Govern platform health including capacity planning, performance benchmarks, upgrade management, and disaster recovery compliance with BCP/DR standards
- Lead workload rationalization identifying pipelines, stored procedures, and jobs for consolidation, retirement, or re-architecture
- Evaluate and drive adoption of modern data engineering capabilities (Apache Airflow, dbt, AWS Glue, Spark) aligned to Project Catalyst objectives
- Own SLA adherence across all data engineering queues incidents, service requests, small-ticket enhancements, and larger backlog-driven work
- Lead root cause analysis (RCA) for critical data incidents and drive permanent fixes to prevent recurrence
- Lead monthly release cycles including environment coordination, change control governance, and production readiness sign-off
- Maintain full backlog visibility in ServiceNow — classification, aging, capacity tracking, and executive-level reporting
- Define and oversee data quality monitoring frameworks, escalation procedures, and continuous improvement programs




- Serve as the primary data engineering relationship owner for senior stakeholders across PHP, PDS/PMG, Quality, and System Services
- Own CSAT measurement and improvement for the data engineering domain, proactively addressing data trust and availability concerns
- Deliver weekly operational and monthly executive reporting on pipeline health, throughput, SLA performance, and platform KPIs
- Develop and own the multi-year data engineering roadmap aligned to Project Catalyst's stabilization-to-modernization progression
- Lead the phased AWS cloud migration strategy for remaining on-premises data engineering components, ensuring continuity and minimal disruption
- Identify and implement automation opportunities to reduce manual pipeline interventions, refresh datasets, and extract requests
- Lead knowledge management across the engineering team — runbooks, architecture diagrams, onboarding playbooks, and continuity documentation
- Oversee end-to-end delivery of managed data analytics services to clients, ensuring projects meet business requirements, timelines, and quality standards
- Monitor and manage service-level agreements (SLAs) and key performance indicators (KPIs).
- Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions
- Serve as the primary point of contact for high-level client interactions, maintaining strong relationships.
- Manage client escalations and ensure timely resolution of issues.

Required Qualifications

- Minimum Degree Required: Bachelor’s Degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics,



or a related quantitative field
- 8+ years of data engineering experience with deep expertise in enterprise ETL/ELT architecture, pipeline design, and large-scale data platform operations
- 3+ years in a formal lead, manager, or technical lead capacity overseeing a data engineering team
- Expert-level SQL proficiency in IBM DB2 and SQL Server including complex schema design, query optimization, and stored procedure management
- Expert-level IBM DataStage experience including architecture, parallel job design, performance tuning, and enterprise deployment
- Deep expertise in IBM Workload Scheduler — complex job stream design, dependency management, SLA configuration, and production operations
- Advanced Oracle GoldenGate experience including replication architecture, CDC design, and production support
- Proven AWS data engineering experience in production — S3, Glue, RDS, Redshift, Lambda, and IAM-governed data access
- Demonstrated ability to develop and execute multi-year technology roadmaps and lead platform modernization programs
- Experience leading managed services or outsourced delivery models with SLA, CSAT, and throughput accountability

Preferred Qualifications

- Healthcare data engineering experience across claims, clinical (HL7/FHIR), EMR, pharmacy, population health, or regulatory reporting domains
- AWS certification — Data Engineer Professional, Solutions Architect Professional, or equivalent
- Experience with up-to-date data stack adoption in enterprise settings — Apache Airflow, dbt, Spark, Delta Lake, or equivalent
- Knowledge of HIPAA, HITRUST, CMS, and healthcare data regulatory compliance requirements
- Experience leading on-premises to cloud migrations for large-scale enterprise data platforms
- Familiarity with Tableau, BusinessObjects, or SAS as downstream analytics consumers of engineered data
- Background in agile delivery, DevOps practices, and CI/CD pipelines for data engineering

📌 Datastage Developer ( Pan India - Night Shift) (Pune)
🏢 PwC India
📍 Pune