Sr. Data Engineer

veralto

13 - 18 years

50 - 55 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

erp data migration focus agile ssis microsoft sql crm python recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

40% Data Architecture / 60% Data Engineering

Responsibilities

Architect and implement enterprise-grade data solutions to modernize BI and operationalize MDM frameworks using Azure-native services and Microsoft Fabric
Design, build, and optimize data pipelines with Fabric and ADF, aligned to Medallion architecture and data modelling best practices
Define target-state data architecture (batch/streaming, storage zones, compute patterns), ensuring scalability, cost efficiency, security, and compliance
Lead data migration strategies for cloud ERP systems, ensuring completeness, lineage, reconciliation, and high data integrity
Establish and embed data governance, data quality, and MDM controls; partner with business/data owners to operationalize policies
Guide transition from legacy SSIS/SQL Server workflows to Fabric-based, automated pipelines with CI/CD and GitOps practices
Enable AI/ML data readiness (feature stores, curated gold datasets) and collaborate with data science to operationalize ML workloads
Drive Agile delivery excellence through backlog shaping, sprint planning, iterative development, and continuous optimization
Proactively identify risks and implement solutions independently; communicate clearly with technical and non-technical stakeholders

Requirements

Deep hands-on expertise with Azure data engineering: ADF, notebooks, PySpark, Python, Delta/Lakehouse patterns, and Microsoft Fabric
Strong understanding and practical application of Medallion architecture, data modelling (conceptual/logical/physical), and cloud-first design
Minimum 5 years applying data management, data quality, data governance, and MDM practices in production environments
Proven experience building CI/CD pipelines (e.g., Azure DevOps/Git) for data workloads, including environment promotion and automated testing
Background in SQL Server and SSIS, with demonstrated modernization to Azure/Fabric
Experience supporting ERP and CRM integrations, including data migration, reconciliation, and controls
Working knowledge of Profisee (preferred) and familiarity with Microsoft Purview for governance, lineage, and cataloging
Exceptional stakeholder management and communication; able to influence and align cross-functional teams
Self-directed, accountable, and collaborative; able to pass rigorous employment background verification

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