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Strong employer brand, popular mid-level data role, and Bangalore metro increase candidate competition.
Technical data engineering skills are transferable but require specific Snowflake/dbt experience, so moderately sensitive.
Explicit 4-8 years plus mandatory Snowflake and key tooling make filtering stringent.
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Build, maintain, and optimize data pipelines for batch and streaming workloads using Snowflake and orchestration tools.
Develop and improve data models and transformations to support analytics, reporting, and operations.
Collaborate with engineers, analysts, and data scientists to deliver reliable, well-governed data solutions and contribute to DataOps processes including CI/CD and monitoring.
4-8 years experience as a Data Engineer or similar role.
Hands-on experience with Snowflake including SQL, data modeling, and basic optimization (mandatory).
Experience with dbt or similar for model development, testing, documentation, and version control.
Proficiency in SQL and Python; experience with orchestration tools (Airflow, Dagster, Prefect, or equivalent).
Experienced with modern data architecture best practices including ETL/ELT and data warehouse design.
Comfortable working with streaming/event processing technologies and cloud environments (AWS, GCP, or Azure).
Able to actively participate in architectural design, code reviews, and collaborate across multiple teams to improve scalability and cost-efficiency.