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Mid-level data engineer in Bangalore with broad skills and common tooling increases applicant competition.
Data engineering skills (SQL, ETL, Kafka, Snowflake) are broadly transferable across industries.
Explicit 4-6 years and mandatory Snowflake/DBT/Kafka/AWS skills create stringent screening filters.
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Architect and implement data ingestion and warehousing solutions using Snowflake and DBT with measurable impact in production data delivery systems.
Develop, maintain, and optimize SQL queries, functions, ETL and reverse ETL processes ensuring data solutions meet customer and internal application needs.
Review and improve data architecture and design, maintain secure coding practices, and collaborate cross-functionally within an Agile Scrum team environment.
4-6 years of professional experience in data-related software engineering roles.
Hands-on experience with Snowflake, Data Build Tool (DBT), SQL, ETL, and reverse ETL processes.
Bachelor’s or Master’s degree in Computer Science, Software Engineering or equivalent.
Experience with Kafka and AWS Services; familiarity with Infrastructure as Code (Terraform) preferred.
Experienced in building and scaling production cloud-hosted data-as-a-service applications on Snowflake and DBT.
Strong understanding of data architecture, secure coding, and Agile software development lifecycle.
Capable of independently handling end-to-end data delivery solutions while collaborating effectively in cross-team settings.