Job Description

Job title : Data Engineer 
Experience: 6+ years 
Location: Chennai 


Shift: US Eastern Time ( 5:00 PM – 2:00 AM ) 







Requirements

We are seeking a hands-on Data Engineer to develop, optimize, and maintain automated 
data pipelines supporting data governance and analytics initiatives. This role will focus on 
building production-ready workflows for ingestion, transformation, quality checks, lineage 
capture, access auditing, cost usage analysis, retention tracking, and metadata integration, 
primarily using Azure Databricks, Azure Data Lake, and Microsoft Purview. 
Experience: 6+ years in data engineering, with strong Azure and Databricks experience 
Pipeline Development – Design, build, and deploy robust ETL/ELT pipelines in Databricks 
(PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational 
metadata from multiple sources landed in Databricks. 
Granular Data Quality Capture – Implement profiling logic to capture issue-level metadata 
(source table, column, timestamp, severity, rule type) to support drill-down from dashboards 
into specific records and enable targeted remediation. 
Governance Metrics Automation – Develop data pipelines to generate metrics for 
dashboards covering data quality, lineage, job monitoring, access & permissions, query cost, 
usage & consumption, retention & lifecycle, policy enforcement, sensitive data mapping, and 
governance KPIs. 
Microsoft Purview Integration – Automate asset onboarding, metadata enrichment, 
classification tagging, and lineage extraction for integration into governance reporting. 
Data Retention & Policy Enforcement – Implement logic for retention tracking and policy 
compliance monitoring (masking, RLS, exceptions). 
Job & Query Monitoring – Build pipelines to track job performance, SLA adherence, and 
query costs for cost and performance optimization. 
Metadata Storage & Optimization – Maintain curated Delta tables for governance metrics, 
structured for efficient dashboard consumption. 
Testing & Troubleshooting – Monitor pipeline execution, optimize performance, and resolve 
issues quickly. 
Collaboration – Work closely with the lead engineer, QA, and reporting teams to validate 
metrics and resolve data quality issues. 
Security & Compliance – Ensure all pipelines meet organizational governance, privacy, and 
security standards. 




Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Tambaram ,Tamil Nadu
Company Website: https://verifitech.com/ Job Function: Data Science & AI
Company Industry/
Sector:
Human Resources Services

What We Offer


About the Company

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