Data Warehouse Engineer / Developer

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: Job Description Roles and Responsibilities: ? Develop and Design DW Solutions as per industry standards, practices and procedures and attributes of the business intelligence tools and systems. ? Work on multiple projects as a team member. ? Develop Data Load jobs / Scripts / Sequence, Reviews and validates data loaded into the data warehouse for accuracy. ? Responsible for prototyping solutions, preparing test scripts, and conducting tests and data replication, extraction, loading, cleansing, and data modeling for data warehouses. ? Implement Best Practices in data warehouses and advise users on conflicts and inappropriate data usage. ? Understand and implement data warehouse development in multi-platform environments. ? Understand data mining in a data warehouse environment which includes data design, database architecture, metadata, and repository creation. ? Maintain knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments Requirements: ? Independently design and implement Data Warehousing solutions, ETL , BI ,Database ? Good knowledge in DBT. ? BE / B .Tech / MCA Good to have : ? Strong verbal and written communications, team collaboration, time management. Primary Skills: ? Data Warehousing, ETL , BI exposure ,Database ? Experience in Data Warehouse: 5 to 8 years. ? Experience in Data Analytics: 2 years ? Experience in ETL: 3 to 5 years (DBT is an advantage or Informatica, DataStage, , Azure etc.,) ? Experience in Data Modeling: basic understand Physical and logical models ? Experience in SQL & Shell Script - Basic knowledge is must Perks: ? Day off on the 3rd Friday of every month (one long weekend each month) ? Monthly Wellness Reimbursement Program to promote health well-being ? Paid paternity and maternity leaves Qualifications Strong exp in DBT.