Data Science/Analyst with AI tool

The Data Science/Analyst will work with NLQ implementations, GenAI/Agentic AI frameworks, and data engineering use cases. The role involves optimizing manual work for Data Quality Assurance, Data Audit, Data Governance, and data-related reporting. The candidate will leverage Amazon Bedrock for genAI-related data use cases, work with Snowflake, relational and non-relational databases, and have hands-on experience with ETL tools such as Informatica and AWS Glue. The role provides exposure to enterprise-scale data ecosystems, offering opportunities for professional growth while working alongside experienced data scientists and cross-functional technology teams. This position also offers exposure to enterprise-wide analytics transformation programs and the chance to influence strategic decision-making at a senior level.

2-5 years of experience with strong SQL expertise and hands-on Python/PySpark. Experience with NLQ implementations, exposure to GenAI/Agentic AI frameworks, data engineering, and data mining. Experience with Snowflake, relational/non-relational databases, Informatica, and AWS Glue. Any Graduate or Any Postgraduate. Excellent verbal and written communication skills are essential, along with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment.