Mumbai, Maharashtra, India
1 day ago
Data Engineering & AI - Associate - 601

Data Engineering and AI optimize business performance by driving key data initiatives, acting as trusted advisors and counterweights to Business/Group Heads, and being responsible for identifying, escalating, and mitigating data-related risks.

The role of a Senior Associate in Data Engineering & AI, you will play a key role in ensuring that data and AI initiatives are effectively integrated into business operations, contributing to strategic growth and success.

As a Senior Associate in Data Engineering & AI in Bangalore, you will have the opportunity to optimize data-driven performance. You will be instrumental in promoting key data initiatives, acting as a trusted advisor to Business/Group Heads. You will play a crucial role in identifying, escalating, and mitigating data-related risks, making a significant impact on our operations.

Job Responsibilities:

Design and Develop ETL using various tools like SSIS, DataBricks and Python related technologies.Identify key data sources that can make business impacts.Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.Design and develop datamining queries from large data sets (Both Structured and Unstructured. Experienced in conversion of data into information.Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.Proficient in building AI related tools.Employs scalable automation solutions for faster and robust data preparation. 

Required qualifications, capabilities, and skills.

Self-starter, attention to details and results orientated, able to work under minimal guidance.Strong proficiency of Data Engineering concepts and Business Intelligence Expert in building AI related conversation tools using LLM Bachelor’s Degree in, Data science Computer Science, or Engineering.  Different field of study, with significant professional experience in Automation and Analytics is acceptable. Experience Required: 5+ years in Data related projects and 2+ Years in AI Good communication and analytical skills

Preferred qualifications, capabilities and skills

Exposure to CI/CD pipelines for deployment is a plus
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