Data Engineer (Ai, Db)

Who we are : Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI / LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. What You Will Do : As a Data Governance Developer at Kanerika, you will be responsible for building and managing metadata, lineage, and compliance frameworks across the organizations data ecosystem. Required Qualifications : - 4 to 6 years of experience in data governance or data management. - Strong experience in Microsoft Purview and Informatica governance tools. - Proficient in tracking and visualizing data lineage across systems. - Familiar with Azure Data Factory, Talend, dbt, and other integration tools. - Understanding of data regulations : GDPR, CCPA, SOX, HIPAA. - Ability to translate technical data governance concepts for business stakeholders. Tools & Technologies : - Microsoft Purview(must have), Collibra, Atlan, Informatica Axon, IBM IG Catalog - Experience in Microsoft Purview areas : 1. Label creation and policy management 2. Publish / Auto-labeling 3. Data Loss Prevention & Compliance handling 4. Compliance Manager, Communication Compliance, Insider Risk Management 5. Records Management, Unified Catalog, Information Barriers 6. eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit 7. DSPM, Data Policy Key Responsibilities : - Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC). - Integrate Purview with data sources : Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. - Schedule and monitor metadata scanning and classification jobs. - Implement and maintain collection hierarchies aligned with data ownership. - Design metadata ingestion workflows for technical, business, and operational metadata. - Enrich data assets with business context : descriptions, glossary terms, tags. - Synchronize metadata across tools using REST APIs, PowerShell, or ADF. - Validate end-to-end lineage for datasets and reports (ADF ? Synapse ? Power BI). - Resolve lineage gaps or failures using mapping corrections or scripts. - Perform impact analysis to support downstream data consumers. - Create custom classification rules for sensitive data (PII, PCI, PHI). - Apply and manage Microsoft Purview sensitivity labels and policies. - Integrate with Microsoft Information Protection (MIP) for DLP. - Manage business glossary in collaboration with domain owners and stewards. - Implement approval workflows and term governance. - Conduct audits for glossary and metadata quality and consistency. - Automate Purview operations using : - PowerShell, Azure Functions, Logic Apps, REST APIs - Build pipelines for dynamic source registration and scanning. - Automate tagging, lineage, and glossary term mapping. - Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.