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Tier-1 employer, mid-level (5–8yrs) data engineer in Bangalore with certification requirements increases competition.
Snowflake-centric data engineering skills are transferable across industries but require specific cloud and platform experience.
Explicit 5–8yr range, mandatory SnowPro certification and technical stack make filters strict.
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Design, develop, and optimize data pipelines and data models on Snowflake platform.
Implement and maintain DBT workflows and write efficient SQL queries for data extraction and reporting.
Collaborate with stakeholders to understand data needs, ensure data quality and governance, and optimize Snowflake workloads leveraging AWS cloud services.
5 to 8 years of experience in data engineering or related roles.
Mandatory Snowflake SnowPro Core certification.
Proficiency in Snowflake, SQL, Data Modelling, Python, and AWS services (Glue, Lambda, Step Functions).
Bachelor's or Master's degree in Engineering, MBA, or MCA with minimum 60% marks.
Experienced in modern data orchestration tools like Apache Airflow and CI/CD pipelines for automated deployments.
Strong expertise in cloud data engineering, specifically Snowflake and AWS ecosystems.
Proven ability to optimize performance and cost in cloud data warehouse environments and collaborate with cross-functional teams.