Job Discription
If Interested please share your Updated Resume to this mail Id:[email protected]
Roles and Responsibilities :
Location:Navi Mumbai
About the role:
As a Data Management Lead, you will be accountable for Data Management that includes a fully scalable relational database management system. ETL (Extract, Transport and Load) – Set off methods and tools to extract data from outside sources, transform it to fit our organisations business needs and load it into a target such as the organisation’s data warehouse. You are expected to manage overall data architecture and manage, develop, prioritize, and recommend initiatives to improve and build upon the data architecture to support the business.
The role may require for you to work on SQL (Structured Query Language) which is a Domain-specific language used in programming and designed for querying and modifying data and managing databases
Roles and Responsibilities
• Develop and deploy Data as a Service
• Should be able to demonstrate data structures.
• Monitor feeds as well as push to downstream systems and ensure timely closure.
• Define best practices in Master Data Management MDM processes and identify areas of improvements.
• Work with connected business functions to suggest process improvements.
• Enforce MDM best practices to enable quick and effective responses.
• Track all activities and allocate in a balanced manner within the team till delivery.
• Identify process gaps, redundant activities and implement across the teams and update SOP.
• Propose automation solution for repetitive activities.
• Keep abreast of the latest changes in MDM processes.
• Get involved in new enhancements and developments for proper testing and successful rollout.
• Track knowledge gaps provide timely feedback and provide proper supervision for accurate and timely responses.
• Drive all process changes and redefine SOP for any changes/additions in data creation, flow, migration, and product feed trigger.
• Be an advisor for new requirements and improvements needed.
• Contribute to developing talent within the team – training/coaching/ mentoring.
• Contribute to a high degree of compliance with organizational culture initiatives such as Norms and Guidelines.
• Engage with teams and contribute to developing functional competencies across the Site Ops department.
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Domain
Operations, Manufacturing, Asset Management, HR, Finance, Supply Chain.
Industry
Oil and Gas, Petrochemicals, Manufacturing.
Experience & Skills required
• 12-15 years, with major work experience in data engineering.
• Postgraduate in Statistics/Operations Research/Mathematics/Economics from a premier institute. – e.g., ISI, IIT etc.
• Solid understanding of master data concepts, data flow & profiling, data quality assessment, data integration and migration.
• Strong Understanding of Data Architecture, Product Structuring, Supply Networks & Hierarchy configuration.
• Expertise in Cloud based Data Management technology
• Ability to understand transactional and master data errors, drive root cause analysis, and create preventative measures for future occurrences.
• Technical analysis and data manipulation skills.
• Knowledge of integration and impact of Master Data objects on subsequent processes.
• Knowledge on Data console and import manager.
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