Senior Snowflake Data Engineer
DXC Technology (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- 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 Requirements
- 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.
Ideal Candidate Profile
- 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.