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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Bangalore role with popular Data Engineer title and broad cloud/Snowflake skills increases applicant competition.
Specialized Snowflake and cloud data tooling require domain experience, limiting cross-industry transferability.
Explicit 5+ years plus mandatory Snowflake, AWS, dbt, Spark, and IaC skills narrow candidate pool.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain data pipelines and ETL/ELT solutions using Snowflake and AWS services.
Develop and optimize Snowflake data models focusing on performance and cost efficiency.
Implement and maintain CI/CD pipelines and Infrastructure as Code (IaC) automation ensuring data security, governance, and operational excellence.
Minimum Requirements
Minimum 5+ years of experience in Data Engineering.
Strong hands-on experience with Snowflake, AWS (S3, Glue, Lambda, IAM, Redshift), SQL, Data Modelling, Spark/PySpark, dbt, and Apache Airflow.
Experience with DevOps tools and practices including Git, Jenkins/GitHub Actions/Azure DevOps, Terraform, CI/CD pipelines, and Infrastructure as Code (IaC).
Work Experience Required: 5+ years in Data Engineering. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in managing scalable cloud data architectures combining Data Warehousing and Data Lakes on Snowflake and AWS.
Familiar with DevOps and automation practices to enhance deployment and infrastructure management effectiveness.
Preferably holds SnowPro or AWS Certification and has exposure to Kafka, Databricks, and Data Governance frameworks.