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Key Responsibilities
Design, develop, and maintain data pipelines using Snowflake and AWS.
Build ETL/ELT solutions for data ingestion, transformation, and integration.
Develop and optimise Snowflake data models, performance, and cost efficiency.
Implement and maintain CI/CD pipelines and DevOps automation.
Manage infrastructure using Infrastructure as Code (IaC) practices.
Ensure data security, governance, monitoring, and operational excellence.
Collaborate with architects, analysts, and business stakeholders to deliver scalable data solutions.

Required Skills
5+ years of experience in Data Engineering.
Robust hands-on experience with:
Snowflake
AWS (S3, Glue, Lambda, IAM, Redshift)
SQL & Data Modelling
Spark / PySpark
dbt
Apache Airflow
Hands-on DevOps experience with:
Git
Jenkins / GitHub Actions / Azure DevOps
Terraform
CI/CD Pipelines
Infrastructure as Code (IaC)
Monitoring & Automation
Strong understanding of Data Warehousing, Data Lakes, and Cloud Data Architecture.

Preferred Skills
SnowPro Certification.
AWS Certification.

Experience with Kafka, Databricks,



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📌 Snowflake Data Engineer 2 Bengaluru (India)
🏢 DXC Technology
📍 India