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Rockwell Automation
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Noida · Hybrid · 8-11 Yrs · Oct 17
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile.
Responsibilities
- Design, develop, and maintain relational and canonical data models using Azure SQL Database, including tables, views, stored procedures, functions, keys, constraints, and indexes.
- Develop high-quality, performant T-SQL code and optimize database performance through query tuning, indexing strategies, dependency analysis, and controlled schema management.
- Design, build, test, and maintain data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS services and DevOps methodologies.
- Architect data structures and pipelines that enable "Data as a Service" capabilities across business units while ensuring scalability, reliability, security, and performance.
- Collaborate with integration teams to define data contracts, database interfaces, and enterprise integration patterns.
- Contribute to the evolution of the CDM/CDL platform using technologies such as Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Microsoft Fabric, Azure Data Factory, and Azure Integration Services.
- Manage CI/CD pipelines, release processes, and deployment automation using Azure DevOps and Git-based workflows.
- Support containerization and cloud deployment practices that enable scalable and resilient platform operations.
- Work closely with analysts, product owners, architects, and business stakeholders to understand requirements and deliver high-quality enterprise data solutions.
- Support data governance, data quality, metadata management, and enterprise architecture initiatives.
- Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related field, or equivalent relevant work experience.
- 8+ years of experience in Data Engineering, Data Platform Engineering, Software Engineering, or related disciplines.
- Strong experience in Azure SQL Database, SQL Server, T-SQL programming, relational database design, and data modeling.
- Experience designing and implementing enterprise-scale data integration and transformation solutions.
- Experience across the full software development lifecycle (SDLC) and Agile delivery methodologies.
- Experience with Azure DevOps, Git, CI/CD pipelines, and deployment automation.
- Strong understanding of database performance tuning, schema versioning, and platform engineering best practices.
- Ability to make architectural trade-offs and deliver scalable solutions that meet evolving business needs.
- Experience with modern Azure data platform technologies including Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Microsoft Fabric, and Azure Integration Services.
- Experience building enterprise common data models, canonical data models, or master data solutions.
- Experience working with business stakeholders to translate business requirements into scalable data solutions.
- Familiarity with Data as a Service (DaaS), data governance, data quality, and metadata management practices.
- Experience with containerization and cloud-native deployment architectures.
- Strong analytical and problem-solving skills with the ability to simplify complex technical concepts.
- Experience working in a global enterprise environment with cross-functional teams.
- Exposure to enterprise architecture frameworks and large-scale platform modernization initiatives.
Benefits
- Comprehensive mindfulness programmed with a premium membership to Calm
- Volunteer Paid Time Off available after 6 months of employment
- Company volunteer and donation matching programme
- Employee Assistance Program
- Personalised wellbeing programmed through our OnTrack programmed
- On-demand digital course library for professional development
- ... and other local benefits!
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Data Engineer at Rockwell Automation?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Rockwell Automation may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked hybrid with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Data Engineer role at Rockwell Automation?
- This is a mid-level Data Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.