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Job Location | Gurugram |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | DBA / Datawarehousing |
EmploymentType | Full-time |
About the opportunityDepartment DescriptionThe data value team within the central data function is facilitating the adoption of a data led culture at FIL. Senior business leaders struggle to get access to the right data, MI/insights and analytics for key functional problems. The data value team is a central team made up of different data capabilities such as analytics, MI, data engineering and business analysis and helps different departments define the right MI and Analytics. The Central data function provides significant data and reporting services to different consumers and departments across Fidelity. These services include establishing data governance processes, meta data and data quality management, data architecture, data lake (Snowflake) and API s adoption along with development of new reporting and analytical applications.Purpose of your roleThis is a challenging opportunity for data professionals who are able to understand the requirements for Data and Analytics and work with the product owners and analysts in the team to design and deliver solutions for data sourcing. Working as a practitioner/engineer in Data landscape, you will need to utilise your experience to assist with the engineering aspects, design, definition, exploration and delivery of end-to-end solution to service the data needs for generating analytics and insights. Your work outcomes should meet all business and operational readiness requirements with the highest standards of quality and responsiveness. All solution implementations should be highly compliant to leading edge DevOps practices in the industry. The candidate should have a sound understanding of data management and design including and not limited to ETL architecture, database technologies, data modelling, data quality, performance management, etc. while demonstrating a keenness to master, suggest and work with different technologies & toolsets. The role would also involve intensive interaction with the business and other systems groups, so good communication skulls and the ability to work under pressure are absolute must.Key Responsibilities
Keyskills :
missing dataweb servicesdata qualitycentral banksamazon web servicesdata modelingtest cases