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Tier-1 brand, Pune metro location, and mid-level generalist data role increase candidate competition.
Data engineering skills transfer across industries but specialized banking and AI-agent context moderately limits transferability.
Explicit 5+ years and many mandatory specialized technologies increase filtering strictness.
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Own the design and development of a scalable, high-quality data platform leveraging Data Virtualization and Data Domains.
Drive creation and optimization of data processing pipelines and analytics solutions using tools like Spark, Starburst, Snowflake.
Integrate AI Agents with data engineering workflows, including configuring MCP servers and implementing Retrieval-Augmented Generation for enterprise data.
5+ years experience in Big Data or enterprise-scale application development with tools like Databricks, Scala, Java, Python ecosystem.
Strong expertise in data processing (Spark, Starburst, Snowflake) and storage technologies (Hadoop, MongoDB, Oracle).
Proficient in SQL, PL/SQL, Unix Shell scripting and experience with database tuning and large-scale distributed systems.
Bachelor’s degree or equivalent experience required.
Experienced in designing and implementing complex data architectures including data lakes, data warehouses, data meshes, and real-time processing.
Deep knowledge of AI-enabled data engineering, including AI Agent design, MCP server configuration, and advanced data retrieval techniques with vector databases.
Capable of handling both structured and unstructured data and integrating LLMs for intelligent data management and querying.