Are you
Interested in working for an international and diverse company
Interested in working for a company that is dedicated to sustainability
Looking to use your troubleshooting skill
Looking for a friendly and supporting team
If so, read on!
Esko , a Veralto company, is a global provider of integrated software and hardware solutions that accelerate the go-to-market process of packaged goods. Our products empower teams to support and manage the packaging design and print processes for brand owners, retailers, pre-media and trade shops, manufacturers, and converters to provide the most innovative, integrated platform and comprehensive portfolio of tools that intelligently digitize, connect, automate, and accelerate the concept to market processes for every packaged product.
You will be part of a flexible, family friendly organization that cares about its people just as it cares about the environment.
We recognize that people come with a wealth of experience and talent. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions.
This role will be remote with quarter visit to Bangalore for minimum of 2 weeks.
Experience summary
- ETL experience: 8 to 12 years total
- Minimum 3 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 3 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
