Brillio

Senior Data Engineer - R01572077

Brillio
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1 month ago
Pune, IndiaMid Level / Senior

Responsibilities

  • Develop complex SQL queries, joins, common table expressions, views, stored procedures, and data transformations in Snowflake.
  • Use Snowflake Cortex AI Functions to build AI-powered data processing and analytics solutions.
  • Ingest, transform, manage, and validate structured and unstructured data in Snowflake.
  • Perform data quality checks and troubleshoot issues affecting data integrity and reliability.
  • Optimize SQL queries and Snowflake workloads for performance and cost.
  • Support generative AI use cases including summarization, classification, information extraction, and semantic search.
  • Collaborate with data engineers, analysts, and business teams to gather requirements and deliver Snowflake solutions.

Requirements

  • 2 to 4 years of hands-on experience in Snowflake engineering and advanced SQL development.
  • Advanced SQL skills including joins, common table expressions, views, and stored procedures.
  • Strong understanding of Snowflake architecture and data warehousing concepts.
  • Experience with Snowflake Cortex AI Functions and Snowflake data transformation techniques.
  • Ability to work with structured and unstructured data in Snowflake.
  • Preferred experience implementing generative AI use cases such as semantic search or information extraction in Snowflake.
  • Familiarity with optimizing Snowflake workloads for analytics.
  • Knowledge of data security and governance in cloud data platforms.
  • Desired bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline.
  • Desired Snowflake SnowPro Core Certification or relevant SQL or cloud data engineering certification.

Tech Stack

PythonSnowflakeSQL

Categories

Data Engineering
Brillio

About Brillio

5,001-10,000 employees

Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.

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