Data Quality Specialist

5 days ago

bangalore, India Mastech Digital Full time

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.

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