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Tier-1 brand, mid-level popular data role in Bangalore with broad required skills increases competition.
Core data engineering skills are transferable, but Snowflake specialization and consulting focus raise domain specificity.
Explicit 5–8 years plus 3+ years Snowflake and mandatory cloud/data tooling makes shortlisting strict.
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Develop and deliver scalable, secure data pipelines using Snowflake cloud data platform technologies.
Collaborate with client stakeholders including data architects, engineers, and BI leadership to ensure alignment and high satisfaction.
Lead or mentor engineering teams and contribute to developing reusable assets and best practices in data engineering.
5–8 years experience in data engineering, data warehousing, or data architecture with at least 3 years working with Snowflake.
University degree required; BSc/MSc in Computer Science, Data Engineering or related preferred.
Proficient with Snowflake features, ETL/ELT tools (e.g., DBT, Matillion), SQL, Python and cloud platforms (AWS, Azure, GCP).
Experience with data modeling methodologies and data governance frameworks.
Experienced in client-facing consulting environments with strong collaboration and problem-solving skills.
Capable of leading or mentoring teams in delivering high-quality Snowflake data solutions.
Skilled across data lifecycle phases including ingestion, transformation, modeling, governance, and consumption.