Snowflake Data Engineer 1
DXC Technology (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 20d ago
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Job description
Structured overview of role & requirements
About 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.