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Common mid-level data engineering role in Bangalore with broad AWS/Snowflake skills increases applicant competition.
Data engineering skills are moderately transferable across industries but Snowflake/graph/vector specialization raises domain sensitivity.
Explicit 5-8 years plus mandatory Snowflake, AWS, Python, CI/CD and graph/vector DB experience increases strictness.
Design, develop, and maintain scalable data pipelines on AWS using services like S3, Glue, Lambda, Redshift, and EMR.
Build and optimize Snowflake data warehousing solutions including performance tuning and data modeling.
Ensure data pipeline quality, integrity, security, and collaborate with cross-functional teams including data scientists and analysts.
5-8 years of experience in data engineering or related roles.
Strong hands-on experience with AWS cloud services and Snowflake architecture.
Advanced proficiency in Python and SQL, with knowledge of graph and vector data modeling concepts.
Must be willing to work onsite five days a week; Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experienced with building and operating CI/CD pipelines and cloud-native deployments, indicating familiarity with modern DevOps practices.
Comfortable in Agile environments using tools like Azure DevOps for backlog management.
Strong problem-solving and collaborative skills suited for multi-disciplinary teams involved in data engineering and analytics.