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Generic Data Engineer title, Bangalore metro, mid-level expectation and broad cloud+dbt skills drive high applicant competition.
Core cloud data engineering skills are transferable across industries, yielding medium background sensitivity.
Required hands-on Snowflake, BigQuery, dbt, SQL and Python imply medium strictness without explicit years requirement.
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Design, build, maintain, and optimize scalable and resilient data pipelines across batch and streaming workloads.
Develop and manage cloud data warehouses on Snowflake and BigQuery including data modeling with dbt and workflow orchestration using Azure and Google Clouds.
Ensure data platform solutions meet standards for performance, security, durability, and scalability while supporting data governance, cataloguing, observability, and security practices.
Hands-on experience with Snowflake or equivalent modern cloud data warehouse.
Proficiency in SQL with experience using dbt, plus coding skills in Python and PowerShell.
Experience working in agile development environments with familiarity in DevOps practices.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced collaborating with senior data engineers within small teams to deliver high-quality data outcomes with velocity.
Strong knowledge of modern data engineering concepts including data warehouse, data lake, and data governance.
Comfortable working with cloud platforms (Azure and Google Cloud), data modeling, orchestration tools, and managing secure, scalable solutions in a cloud environment.