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Specialized Snowflake+dbt skills narrow the pool, but Bangalore location and senior mid-market role increase competition.
Snowflake and dbt engineering skills transfer across industries, though pharmaceutical and Data Vault emphasis raises domain specificity.
Mandatory 8+ years plus Snowflake, dbt, Fivetran, SQL/Python and CI/CD requirements create strict technical filters.
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Design, develop, and maintain scalable data solutions and pipelines primarily using Snowflake and DBT.
Own the technical implementation of data flows, repositories, and advanced data-centric solutions supporting reporting, analytics, and AI initiatives.
Develop and optimize complex SQL and Python-based data processing; automate deployment via CI/CD pipelines using Azure DevOps.
Master’s degree in Computer Science, Information Technology, or related field.
8+ years overall data engineering experience with 5-6 years hands-on expertise in Snowflake and DBT.
Proficiency in SQL, advanced Python, data modeling techniques (OLTP, OLAP, Data Vault 2.0), and CI/CD pipelines (Azure DevOps).
Experience with Fivetran for automated ELT data ingestion and integration with Snowflake and DBT.
Experienced Snowflake Developer/Architect capable of leading complex data engineering projects in pharmaceutical/science/technology domains.
Strong technical advisor with deep understanding of Snowflake architecture and data warehousing methodologies.
Comfortable working with cross-functional teams to deliver scalable data solutions supporting AI and analytics initiatives.