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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Bangalore data role with common skills but Snowflake focus attracts moderate competition.
Specialized Snowflake and AWS data engineering skills are moderately transferable across industries.
Mandatory 5+ years plus specific Snowflake/AWS/dbt/DevOps stack increases filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain Snowflake-based data pipelines with integration in AWS environments.
Build and optimize ETL/ELT solutions focusing on data ingestion, transformation, performance, and cost efficiency.
Implement and maintain CI/CD pipelines, DevOps automation, and Infrastructure as Code for operational excellence and security.
Minimum Requirements
5+ years of experience in Data Engineering.
Strong hands-on skills with Snowflake, AWS (S3, Glue, Lambda, IAM, Redshift), SQL, Data Modelling, Spark/PySpark, dbt, and Apache Airflow.
Experience with DevOps tools: Git, Jenkins/GitHub Actions/Azure DevOps, Terraform, CI/CD pipelines, and Infrastructure as Code.
Strong understanding of Data Warehousing, Data Lakes, and Cloud Data Architecture.
Ideal Candidate Profile
Experienced in integrating Snowflake with a wide AWS ecosystem, focusing on scalable and efficient data solutions.
Skilled in automating deployment and infrastructure management using DevOps and IaC practices.
Able to collaborate across architects, analysts, and business stakeholders to deliver robust and governed data platforms.