Data Quality Specialist
2 days ago
Job Title: ETL & Data Quality SpecialistLocation: Chennai/ Bangalore/ Hyderabad(Primarily looking for Local's. Open for remote candidates as well)Experience: 10+ yearsBudget: Open to discussNotice Period: Immediate joiner/ Serving notice with less than 30 days/Notice is less than 20 daysProfessional SummarySeasoned 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 SupportPrimary 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.
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