Job Description

Company Description Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. If you\'re looking for challenges and opportunities similar to those of a startup, with the benefits of a seasoned and successful company, then read on: Responsibilities: Responsible for the design, implementation, maintenance, and support of data warehouse systems and related data marts. Oversees data design and the creation of database architecture and data repositories. Overall architecture of DW and Performance Tuning of DW systems. Create / Develop POC with ETL flow / DW solution if required. Responsible for creating mapping and transformation logic Drive change request to implement an efficient and effective data-warehousing strategy Ensure that projects are accurately estimated and delivered to schedule Work closely with the business and developers on issues related to design and requirements Actively contribute to the process of continuous improvement, with regard to self, team and systems Ensure that development standards, policies and procedures are adhered to. Work with analysts from the business, your development team and other areas to deliver data-centric projects. Responsible for the maintenance and improvement of existing data Loads batch-processes and the implementation of new ETL and BI systems. Strong in Technical, Analytical skills, DB Procedures and Communicational skills. Requirements: Expert level min 10+ years of experience in Data Warehousing solutions , Design and implement ETL jobs/flows , Expert knowledge in BI ,Database ,Data Modeling . Implementation of Enterprise Level data warehousing is plus Primary Skills: Exp in Data Warehouse: 10 to 12 years. Exp in Data Analytics: 2 to 4 years Exp in ETL : 8 to 10 years (ex: DBT , Informatica , DataStage , Abinitio , Azure etc.,) Exp in BI Tools Intermediate knowledge in Tableau, PowerBI , Cognos Exp in Data Modeling : knowledge to create models and understand Physical and logical models. Derive Multi-Dimensional models. Exp in SQL & Shell Script: Basic knowledge is must Team Leadership & collaboration : Strong Leadership & team enablement, Team collaboration, Time management Communication: Strong verbal and written communications Additional Information Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves Group Medical Insurance Group Term Life Insurance (2.5X of the CTC) Group Personal Accident Insurance (3 X of the CTC)

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