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Metro mid-level Snowflake/AWS role with broad skillset and known employer increases competition.
Cloud data engineering skills are transferable across industries, though Snowflake specialization moderately narrows fit.
Multiple mandatory technologies and explicit 5+ years requirement make shortlisting highly selective.
Design, build, and maintain scalable data pipelines and Snowflake data models with focus on performance and cost efficiency.
Implement and manage CI/CD pipelines, DevOps automation, and Infrastructure as Code (IaC) for cloud data platforms on AWS.
Ensure data security, governance, monitoring, and collaborate with architects and stakeholders to deliver robust data solutions.
5+ years of experience in Data Engineering.
Strong hands-on expertise in Snowflake, AWS (S3, Glue, Lambda, IAM, Redshift), SQL & Data Modeling, Spark/PySpark, dbt, Apache Airflow.
DevOps skills including Git, Jenkins/GitHub Actions/Azure DevOps, Terraform, CI/CD pipelines, and Infrastructure as Code.
Job locations limited to Hyderabad, Bangalore, Chennai, Kolkata, Noida, Gurgaon, Pune, Indore, Mumbai.
Experienced in cloud-native data platform engineering with strong emphasis on Snowflake and AWS technologies.
Proficient in automating infrastructure and deployments using DevOps tools and Infrastructure as Code.
Capable of optimizing data models and pipelines for operational excellence and cost management in a collaborative environment.