Esko
Location
Bangalore, Karnataka, India
Category
Information Technology
Job Id
R10262444
Experience summary
ETL experience: 13 years total
Minimum 5 years hands-on with: Azure Data Factory (ADF), notebooks, PySpark, Python, AI/ML, data management, data quality, data architecture, data modelling, Microsoft Fabric, Medallion architecture, CI/CD pipelines, data governance, and MDM
Additional stack exposure: SSIS, SQL Server, ERP, CRM
Fabric experience is a must
Knowledge of Profisee (MDM) and Microsoft Purview (data governance/catalog) is an added advantage
Technical focus
20% Data Architecture / 80% Data Engineering
Key responsibilities
Architect, develop, and operate enterprise-grade data pipelines using Microsoft Fabric, ADF, PySpark, and Python, aligned to Medallion architecture
Rationalize and modernize the BI data landscape; deliver curated bronze/silver/gold layers and performant semantic models
Implement data quality, governance, lineage, and observability across pipelines; embed controls for auditability and compliance
Prepare validated, high-quality datasets to support ERP migration waves and MDM mastering workflows, including reconciliation processes
Migrate/retire legacy SSIS/SQL Server integrations to cloud-native, testable, and cost-efficient solutions
Apply CI/CD for data engineering (branching, PRs, automated testing, environment promotion) using Azure DevOps/Git
Enable AI/ML workloads by provisioning feature-ready datasets and operationalizing model data flows in collaboration with data science
Diagnose and resolve complex integration issues across cloud-native and legacy platforms; optimize performance and costs
Collaborate effectively with business analysts, transformation leads, and external partners; communicate progress and risks clearly
Contribute to Agile delivery cycles, showing initiative and independence in problem solving
Required expertise
Advanced proficiency in Azure-based data engineering: ADF, notebooks, PySpark, Python, Delta/Lakehouse patterns, and Microsoft Fabric
Demonstrated success building resilient, scalable, and observable pipelines with Medallion architecture and solid data modelling
Minimum 5 years applying data management, data quality, data governance, and MDM practices in production environments
Strong SQL skills; experience transitioning from SQL Server/SSIS to Azure/Fabric
Hands-on CI/CD for data solutions (e.g., Azure DevOps), including automated deployments and quality gates
Exposure to ERP/CRM integrations and data migration best practices
Familiarity with Profisee (preferred) and Microsoft Purview for governance, lineage, and cataloging
Strong communication, stakeholder engagement, and teamwork; integrity and ownership mindset
Able to pass rigorous employment background verification
At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
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