Data Warehouse Developer

• The candidate will participate in the design/development/customization and maintenance of software applications.
• The person should analyze the different applications/Products and 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 in developing secured and highperformance web application(s)
• Knowledge of software development lifecycle 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 fastpaced environment requiring multitasking and efficient time management.

• Experience required: 8 10 years.
• Bachelors/masters degree in computer science Engineering or equivalent
• Endtoend Lifecycle of Data warehousing Data Lakes Data modelling and reporting.
• Experience with Maintaining/Managing Data warehouses.
• Responsible for the design and development of large scaledout realtime highperforming Data Lake / Data Warehouse systems (including Big data and Cloud).
• Strong SQL and analytical skills.
• Experience in Power BI Tableau QlikView QlikSense etc.
• Experience in Microsoft Azure Services.
• Experience in Azure SQL Server/ Databricks / Azure Analysis Services

• Prior experience of working in Agile Safe and PI Planning
• Any relevant DW/BI Certification
• Working Knowledge of processing huge amounts of data performance tuning cluster administration High availability and failover and backup restore.

data warehouse,azure,pl/sql,sql,sass,ssrs,ssis