Sr Data and AI specialist

About the role

Responsibilities

• Requirement elicitation, understanding the business need and trying to solve the business problem with data as the tool.

• Translating the business requirement into data requirement, understanding limitations of system to design a transformation pipeline

• Work closely on the data, by querying & transforming the data set to make it available to users in required structure and form

• Write complex transformation queries that can be used for process automation & incremental data load

• Use best of query and coding(python) worlds to design efficient transformation logics

• Understand the efficiency factor of query and python and work-around to avoid heavy functions

• Work on end-to-end Power BI reports and dashboard development. Own the admin jobs of Power BI and take necessary actions in case of issues

• Understanding business problem/objectives, developing wireframes & designing appropriate data strategy

• Perform data extraction, data transformation, data modelling, maintain data models, reporting systems, dashboards, performance metrics and other leading edge analytical systems that support key business decisions

• Approach problems and issues structurally to find the root cause of the issues in data/processes

• Hands on AI delivery experience across GenAI, Agentic AI and RAG pipelines in complex enterprise environments.

Qualifications

• Strong analytical and problem-solving skills with the ability to interpret complicated and large amounts of data with business insights

• Overall experience of 7+ years in data management, with minimum 3+ years of experience as full stack developer

• Experience in working with datasets in databases with SQL language

• Strong technical expertise in Power BI-Power Query & DAX, best practices for visualization & developing optimized backend architecture

• Sound knowledge of cloud and related components for data manipulation, transformation etc

• Candidates with expertise in Python coding will be preferred

• Delivery Ownership and mentoring junior team members

• Experience in building AI models, RAG pipelines, Model lifecycle management