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Mid-level, metro location, popular data-engineer title and broad required skills drive high competition.
Cloud data engineering skills are transferable across industries, but Snowflake specialization creates moderate domain bias.
Multiple mandatory technical skills plus explicit 5+ years requirement make shortlisting highly strict.
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Design, develop, and maintain scalable data pipelines and ETL/ELT solutions using Snowflake and AWS services.
Implement and optimise Snowflake data models for performance and cost efficiency while ensuring data security and governance.
Build and maintain CI/CD pipelines and infrastructure automation using DevOps tools and Infrastructure as Code practices.
Minimum 5+ years of experience in Data Engineering.
Strong hands-on experience with Snowflake, AWS (including S3, Glue, Lambda, IAM, Redshift), SQL, Spark/PySpark, dbt, and Apache Airflow.
Proven DevOps experience with Git, Jenkins/GitHub Actions/Azure DevOps, Terraform, CI/CD pipelines, and Infrastructure as Code (IaC).
Location options include Hyderabad, Bangalore, Chennai, Kolkata, Noida, Gurgaon, Pune, Indore, Mumbai. Work Experience Required: 5+ years.
Experienced in cloud-native data platform engineering with a focus on Snowflake and AWS ecosystem.
Skilled in integrating DevOps automation and CI/CD practices within data engineering workflows.
Capable of collaborating with architects, analysts, and business stakeholders to deliver scalable, efficient data solutions.