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Strong global brand and Chennai metro raise competition, but seniority and specialized Snowflake/vector skills limit applicant pool.
Medium - core data engineering skills are transferable, but Snowflake and vector/graph requirements bias toward data/AI roles.
High - explicit 8+ years plus mandatory Snowflake, AWS, Python, and vector/graph database expertise.
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Design, develop, and maintain scalable data pipelines on AWS cloud using S3, Glue, Lambda, Redshift, EMR, ensuring pipeline performance and reliability.
Build and optimize Snowflake data warehousing solutions including performance tuning and data modeling for large-scale data.
Integrate graph and vector databases with AI/LLM applications, collaborate with cross-functional teams to meet data requirements.
8+ years experience in data engineering or related roles.
Strong hands-on experience with AWS data and AI services plus Snowflake architecture and tuning.
Proficiency in Python and SQL, and experience with graph (e.g., Neo4j) and vector databases (e.g., Milvus).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; must work onsite five days a week.
Extensive experience building scalable, high-performance data pipelines in cloud-native AWS environments.
Deep technical expertise in Snowflake data warehousing and advanced Python/SQL coding for data transformations.
Experience integrating vector and graph databases with AI workflows, demonstrating ability to manage complex data architectures.