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Metro Bangalore, popular Data Engineer role with broad AI/MLOps requirements yields high applicant density.
Core data engineering skills transfer well, but SAP/telematics and industrial domain needs increase specificity.
Explicit 7+ years requirement plus mandatory Snowflake, Python, ETL, and MLOps skills increases filter strictness.
Design, build, and maintain scalable batch and streaming data pipelines integrating multiple systems including IoT, SAP, PLM, MES, and dealer systems.
Model data lakes/lakehouses/warehouses, optimize data storage and performance, and develop feature pipelines to support AI/ML and analytics use cases.
Collaborate with Data Scientists to productionize AI/ML models, implement MLOps including CI/CD, model monitoring, and support GenAI use cases such as RAG pipelines and vector indexing.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Industrial Engineering, or related field.
Minimum 7+ years of experience in Data Engineering roles.
Strong proficiency with Snowflake, SQL, Python, and ETL tools like Snaplogic; familiarity with cloud platforms (AWS, Azure, GCP).
Must work onsite 5 days a week in Bangalore with shift timing from 01:00PM to 10:00PM IST; visa sponsorship not available.
Experienced in designing and optimizing large-scale data architectures incorporating data lakes, lakehouses, and warehouses using modern formats and medallion architectures.
Skilled in AI/ML production workflows including feature pipelines, model deployment, and MLOps practices with hands-on experience in GenAI tools and vector databases.
Able to operate within a product-oriented, security-first and automation-focused environment, collaborating effectively with global, cross-functional teams bridging business and engineering.