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• No of position :- ( 1 )

• Post :- 27th May 2023

(in Yrs) • 5+ years - Experience in data mapping techniques. • 3+ years – Working experience in with finance and treasury functions with expertise in translating functional requirements to technical specifications. • 3+ years - Strong Working experience in GCP

Technical/Functional Skills • Data modeling techniques. • Reporting technologies such as Power BI, Watch, and Looker. • Exposure to finance ERP and treasury applications such as Bloomberg, Clearwater, Quantum, and Clearwater is essential. • 8+ years of post-college experience as a developer and architect in Reporting, Data Modelling, and Interface Engineering. • Cloud certifications (good to have) • Experience working in an Agile environment. • A great communicator with strong project management skills and superb attention to detail • Experience leading teams in a complex global matrix organization involving multiple reporting lines.

Experience Required • 8+ years of experience in data modeling techniques. • Working knowledge of Reporting technologies such as Power BI, Watch, and Looker. • Exposure to finance ERP and treasury applications such as Bloomberg, Clearwater, Quantum, and Clearwater is essential. • Undergraduate degree in Computer Engineering or equivalent from a leading university, preferably with a Master’s degree. • 8+ years of post-college experience as a developer and architect in Reporting, Data Modelling, and Interface

Engineering. • Cloud certifications (good to have) • Experience working in an Agile environment. • A great communicator with strong project management skills and superb attention to detail • Experience leading teams in a complex global matrix organization involving multiple reporting lines.

Roles & Responsibilities • Should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management. • Analyzing and translating business needs into long-term solution data models. • Collaborate with the development team to develop a data reporting environment across organizational data systems. • Identify and promote best practices and patterns for data modeling to ensure consistency within the system. • Integrate the data platform with analytical tools such as Tableau and PowerBI. • Implement data strategies and develop physical data models. • Update and optimize local and metadata models. • Review team members’ codes for quality and correctness. • Evaluate data systems for variances, discrepancies, and efficiency. • Troubleshooting and optimizing data systems. • Liaison with multiple stakeholders to understand the business requirements and work with team members to support the product requirement mapping to the rest of the engineering track. • Work with other team members to support high-quality delivery and keep a balance with customer focus to meet business needs. • Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment. • Demonstrate ability to design & implement performance, scalable, resilient, reliable, and understandable data pipelines. • Exhibit expertise in modern data engineering approaches and awareness of leading technology trends. • Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations. • Effectively collaborate with teams for problem-solving and resolving issues.

Generic Managerial Skills

Education Undergraduate degree in Computer Engineering or equivalent from a leading university, preferably with a Master’s degree