Job Title : ETL & Data Quality Specialist
Location : Chennai / Bangalore / Hyderabad(Primarily looking for Local's. Open for remote candidates as well)
Experience : 10+ years
Budget : Open to discuss
Notice Period : Immediate joiner / Serving notice with less than 30 days / Notice is less than 20 days
Professional Summary
Seasoned ETL and Data Quality Specialist with 10+ years of experience delivering robust, scalable data integration and data quality frameworks across enterprise environments. Strong hands-on expertise with Informatica IDMC (CDI, CDQ), ETL pipelines, data profiling, cleansing, and validation. Adept at implementing high-quality data solutions aligned with governance, compliance, and downstream analytical requirements. MDM experience included as a secondary skillset, supporting match / merge logic, survivorship, and metadata structures.
Core Competencies
- ETL Architecture & Data Pipelines
- IDMC CDI & CDQ (Primary)
- Enterprise Data Quality Frameworks (Primary)
- Data Profiling, Cleansing, Standardization
- API Integrations & Cloud Data Ingestion
- MDM (On‑Prem & SaaS) – Secondary
- Match / Merge & Survivorship (Secondary)
- Data Modeling & Governance Support
Primary Skills
Strong hands-on expertise in Informatica IDMC CDI and CDQ.Proven experience in building large-scale ETL pipelines and DQ frameworks.Solid understanding of data modeling, metadata management, and integration architecture.Exposure to Informatica MDM SaaS / On‑Prem, including match / merge and survivorship.Proficiency with API integrations, cloud platforms, and automation.Strong analytical, communication, and problem‑solving abilities.Ability to work independently and drive technical outcomes in fast-paced environments.Secondary Skills
Familiarity with multi-domain MDM environments.Exposure to data governance and stewardship processes.Knowledge of AWS / Azure cloud ecosystems.Key Responsibilities
Lead design and development of enterprise ETL pipelines using Informatica CDI and related integration services.Own end-to-end Data Quality implementation, including profiling, cleansing, enrichment, and rule-based validation.Collaborate with business and IT stakeholders to define data quality KPIs, governance standards, and integration patterns.Integrate upstream and downstream systems using IICS, APIs, and cloud-native services.Support MDM teams with configuration of match / merge, survivorship, and metadata structures (secondary responsibility).Conduct root-cause analysis for data issues and implement remediation workflows.Mentor junior engineers and contribute to reusable frameworks and accelerators.