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Strong Big-Four brand, mid-level data engineer in Bangalore with popular Snowflake/Python skillset increases competition.
Core data engineering skills transferable, but Snowflake certification and AWS focus increase domain specificity.
Explicit 5-8 years requirement plus mandatory SnowPro Core and specific Snowflake/AWS skills.
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Design, develop, and optimize data pipelines and data models using Snowflake and associated AWS cloud services.
Implement and maintain data transformation workflows with DBT and orchestrate workflows using Apache Airflow or similar tools.
Ensure data quality, governance, automate deployment/testing via CI/CD, and optimize performance and cost of Snowflake workloads.
5-8 years of relevant work experience in data engineering with Snowflake expertise.
Bachelor or Master of Engineering degree required.
Mandatory Snowflake SnowPro Core certification.
Strong skills in SQL, Python scripting, AWS Glue, Lambda, Step Functions, and data modelling.
Experienced in modern cloud data engineering environments with Snowflake and AWS services.
Proficient in workflow orchestration and automation tools such as Apache Airflow and CI/CD pipelines.
Capable of collaborating with cross-functional teams including data analysts, scientists, and business stakeholders to translate data requirements into scalable solutions.