You are responsible for

• 11+ years of experience in Data SW Development- Data Defining, Data Analysis, Designing, Business intelligence Cloud Tools Technologies.
• Expertise in business intelligence techniques, visualization and reporting methods and tools, BI tools like QlikSense, Tableau, Power BI etc.,
• Experience of coding in Java 8 Spring framework, conducting design reviews/code reviews and usage of architectural principles for creating solutions.
• Sound knowledge on the DWH RDBMS technologies. Experience in designing systems with high volume of data and transactions.
• Working knowledge of unstructured data, data mining, data representation, data classification and encryption.
• Experience in defining data, creating data models, data modelling tools, Data normalization and Denormalization techniques, Big Data handling.
• Experience in Defining layered architecture and lead technical teams presentation layer, data layer, business layer, etc.
• Good understanding of latest DevOps practices and the influence of architectural choices on DevOps and vice versa
• Experience with software design concepts, practices, modern development methodologies such as Agile, Lean, TDD, Clean Code, CI/CD etc.,
• Mindset of innovation, focus towards improving efficiency and productivity.

To succeed in this role, you ll need a customer-first attitude and the following

• Present/Discuss, the merits of the design recommendations with a group of Data System architects.
• Perform Data Analysis, Design, Code, Implement, Test, Release Maintain the scope of work in terms of Data API s.
• Institute and Lead the adoption of best practices, Data quality, coding standards and development practices to improve the quality of the deliverables into team.
• Conduct peer-to-peer and SME technical review sessions within and outside the development team.
• Gathering data from various sources and compile into a useable format to analyze and present results.
• Ensuring data is accurately and consistently maintained and pro-actively troubleshoot inconsistencies.