Project LEad
Axtria (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 12–28 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and optimize end-to-end data ingestion and ELT pipelines in Snowflake, including use of advanced features like Streams, Tasks, and Dynamic Tables.
- Leverage Snowflake Cortex for AI-powered data transformations such as text summarization, sentiment analysis, and semantic search, enabling AI-ready datasets for analytics and ML.
- Ensure data models (star/snowflake schema) and data pipelines are performant, cost-efficient, and uphold data quality, security, and governance standards.
Minimum Requirements
- Strong hands-on experience with Snowflake platform and advanced SQL, including performance tuning and Snowflake features like Streams, Tasks, Dynamic Tables.
- Experience with Snowflake Cortex functions and familiarity with generative AI concepts, NLP, and prompt engineering.
- Proficiency in ELT/ETL tools (e.g., dbt), cloud platforms (AWS/Azure/GCP), and programming in SQL and Python.
- Education: BE/B.Tech or Master of Computer Application; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced data engineer with demonstrated expertise in Snowflake-focused data lake/lakehouse architectures and AI-enabled data platform integration.
- Skilled at translating complex AI and business use cases into scalable data pipelines and analytical models, with a track record of performance and cost optimization.
- Strong in cross-functional collaboration with architects, analysts, and data scientists, comfortable working in Agile environments to deliver AI-enriched datasets.