Sampoorna Consultants Private Limited Hiring For Azure Data Warehouse Developer BLR/Noida (Job Code : J47731) at Bengaluru , Bangalore Full Time

Excellent Opportunity with our client for
Azure Data Warehouse Developer BLR/Noida (Job Code : J47731)
Exp : 8 – 10 Years Location: Bangalore,Noida Key Skills: ADF, Data Bricks, Data Warehouse
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ROLE and RESPONSIBILITIES:
The candidate will participate in the design / development / customization and maintenance of software applications.
The person should analyze the different applications/Products, design and implement DW using best practices.
Rich data governance experience, data security, data quality, provenance / lineage.
The candidate will also be maintaining a close working relationship with the other application stakeholders.
Experience of developing secured and high-performance web application(s)
Knowledge of software development life-cycle methodologies e.g. Iterative, Waterfall, Agile, etc.
Designing and architecting future releases of the platform.
Participating in troubleshooting application issues.
Jointly working with other teams and partners handling different aspects of the platform creation.
Tracking advancements in software development technologies and applying them judiciously in the solution roadmap.
Ensuring all quality controls and processes are adhered to.
Planning the major and minor releases of the solution.
Ensuring robust configuration management.
Working closely with the Engineering Manager on different aspects of product lifecycle management.
Demonstrate the ability to independently work in a fast-paced environment requiring multitasking and efficient time management.
Requirements:
Experience required: 8 – 10 years.
Bachelor`s/master`s degree in computer science, Engineering or equivalent
End to end Lifecyle of Data warehousing, Data Lakes, Data modeling and reporting.
Experience with Maintaining/Managing Data warehouses.
Responsible for the design and development of a large, scaled-out, real-time, high performing Data Lake / Data Warehouse systems (including Big data and Cloud).
Strong SQL and analytical skills.
Experience in Power BI, Tableau, QlikView, QlikSense etc.