Data Quality Specialist

3 days ago

india, IN Mastech Digital Full time

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 CompetenciesETL Architecture & Data PipelinesIDMC CDI & CDQ (Primary)Enterprise Data Quality Frameworks (Primary)Data Profiling, Cleansing, StandardizationAPI Integrations & Cloud Data IngestionMDM (On‑Prem & SaaS) – SecondaryMatch/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 SkillsFamiliarity with multi-domain MDM environments.Exposure to data governance and stewardship processes.Knowledge of AWS/Azure cloud ecosystems.Key ResponsibilitiesLead 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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