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Tier-1 brand, mid-level data role in Pune with common data engineering skills increases candidate competition.
Core ETL, Spark, SQL skills transferable but AI-agent and Starburst/Trino specificity raises domain bias.
Explicit 5+ years and many mandatory platform, Starburst, MCP, and data tooling proficiencies.
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Develop and maintain scalable, high-quality data platforms using modern methodologies including Data Virtualization and Data Domains.
Design, optimize, and scale data processing pipelines leveraging tools like Spark, Starburst, Snowflake, and manage complex data systems including relational and big data technologies.
Implement and integrate AI agents and applied AI technologies such as Model Context Protocol servers, retrieval-augmented generation, and large language models within data engineering workflows.
5+ years of experience in Big Data or large-scale enterprise application development with tools such as Databricks, Scala, Java, and Python.
Proficient in data engineering techniques including data modeling, data warehousing, ETL/ELT processes, and use of technologies like Spark, Starburst, Snowflake, Hadoop, Oracle, and SQL/PLSQL.
Hands-on experience with AI Agents and Model Context Protocol servers or equivalent applied AI integration in data workflows.
Bachelor’s degree or equivalent experience.
Experienced practitioner capable of building and managing distributed, scalable data platforms leveraging both traditional and AI-enabled data engineering techniques.
Technical expert in real-time data processing and data virtualization architectures, particularly with Starburst/Trino and related tools.
Familiar with the operational aspects of integrating AI technologies (e.g., MCP servers, LLMs, vector databases) to enhance data platform capabilities and automation.