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Tier-1 employer, mid-level Snowflake data role in Bangalore with common skills creates high applicant density.
Snowflake/AWS focus is transferable across industries but requires specific cloud data-platform experience.
Mandatory SnowPro certification and explicit 5–8 years plus specific Snowflake/AWS/DBT skills raise filter strictness.
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Design, develop, and optimize data pipelines and data models primarily using Snowflake, ensuring efficient data integration and transformation.
Implement and maintain DBT workflows and orchestrate data workflows using tools like Apache Airflow, focusing on data quality and governance.
Collaborate with stakeholders to align data solutions and leverage AWS cloud services including Glue, Lambda, and Step Functions to optimize performance and cost.
5-8 years of relevant experience in data engineering with strong focus on Snowflake and cloud data platforms.
Mandatory Snowflake SnowPro Core certification required.
Proficiency in SQL, Python scripting, AWS Glue, Lambda, Step Functions, and experience with DBT workflows.
Bachelor of Engineering, MBA, or Master of Engineering degree required.
Experienced in building scalable and automated data pipelines in cloud environments, especially AWS and Snowflake.
Comfortable working with orchestration tools like Airflow and CI/CD pipelines to enable deployment automation.
Able to collaborate effectively with data analysts, scientists, and business stakeholders to translate requirements into technical solutions.