Job Summary
Experience:
9.00 - 15.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
Manager - Data Integration
Key Skills:
Azure Cloud, AI/Machine Learning platforms, Data Engineering pipelines, Big Data technologies, and Microsoft tools
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-07-02 10:29:37
Stream of Study:
Computer Science/IT
Degree:
BE-Comp/IT, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, MS-Comp/IT, MSc-Other
Company Description
With over 75 years of experience in the industry, our client is the world`s largest manufacturer of furniture housing over 690 acres of manufacturing and distribution capacity. With more than 1,100 stores across 65 countries and a thriving e-commerce business, Our client is one of the most prominent furniture retailers worldwide.
Job Description
Manager – Data Integration :
Below are additional key responsibilities:
• Total 12+ years of experience in Software Development, Big Data Projects, AI/ML, Data Engineering, MDM, Team Leadership, and Project Management
• Proficient in Azure Cloud, AI/Machine Learning platforms, Data Engineering pipelines, Big Data technologies, and Microsoft tools
• Roles: Technical/Associate Project Manager, Data Engineering , AI Solutions Architect
• Expertise in AI model development, deployment, and integration; designing and implementing scalable data pipelines and ETL processes
• Proven problem-solving skills with excellent analytical and interpersonal abilities
• Communicate with clients regarding project understanding, requirements gathering, and solution development
• Define milestones and execute internal QC/demos to ensure quality delivery
• Perform full life cycle development including requirements analysis, system design and architecture, development, testing, deployment, and maintenance
• Experience with AI/ML frameworks, data engineering tools, cloud-native solutions, and modern data stack technologies
• Capable of self-learning to explore technical competency across a broad range of emerging technologies
