Job Summary

DataOps / DevOps Engineer (Python | AWS | Snowflake) Experience Range: 2-5 years

Employment Type: Full time (On-site)

Location: Vadodara, Gujarat

We are looking for a DataOps/DevOps Engineer to streamline and automate data platform operations across AWS and Snowflake environments. The ideal candidate will have strong experience in Python scripting, CI/CD automation, infrastructure-as-code, and data pipeline reliability. You ll collaborate with data engineers and analysts to ensure data products are deployed, monitored, and scaled efficiently.

Responsibilities

- DataOps Automation
- Build and maintain CI/CD pipelines for data ingestion, transformation, and analytics workloads
- Automate ETL/ELT job deployments using tools like GitHub Actions, Jenkins, or AWS CodePipeline
- Develop Python utilities for orchestration, metadata tracking, and operational workflows
- Implement data quality and validation checks as part of deployment workflows
- DevOps Cloud Infrastructure
- Manage and optimize AWS infrastructure for data workloads - EC2, Lambda, S3, Step Functions, Glue, ECS/EKS, and IAM
- Design and manage infrastructure-as-code (IaC) using Terraform or AWS CloudFormation
- Set up monitoring, alerting, and logging via CloudWatch, Prometheus, or Datadog
- Ensure high availability, backup, and DR strategies for Snowflake and data pipelines
- Snowflake Data Platform
- Automate Snowflake warehouse management, user provisioning, and role-based access using Python or Terraform
- Manage Snowpipe, Streams,



and Tasks for continuous data ingestion
- Collaborate with data engineers on performance tuning and query optimizatio.
- Build integrations between Snowflake, AWS (S3, Lambda, Kinesis), and BI tools (e.g., Superset, Tableau)
- Collaboration Best Practices
- Work closely with data engineering and analytics teams to improve delivery efficiency and reliability
- Define and enforce data versioning, testing, and release standards
- Contribute to observability and incident response playbooks
- Promote a culture of automation, testing, and continuous improvement

Required Skills

- Programming: Python (must have); Bash scripting
- Cloud: AWS (S3, Lambda, Glue, ECS, IAM, CloudFormation)
- Data Platform: Snowflake (SQL, Snowpipe, Streams, Tasks, RBAC)
- DevOps: CI/CD pipelines (GitHub Actions, Jenkins, or AWS CodePipeline)
- IaC: Terraform or AWS CloudFormation
- Version Control: Git, GitHub, GitLab
- Monitoring: CloudWatch, Grafana, or Datadog
- OS: Linux / Unix

Nice to Have

- Experience with Airflow, dbt, or Flink/Spark for pipeline orchestration
- Exposure to Kubernetes (EKS) for scalable data workloads
- Knowledge of Cost Optimization for Snowflake and AWS resources
- Familiarity with Data Governance and security frameworks (e.g., AWS KMS, Secrets Manager)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DataOps / DevOps Engineer (Python | AWS | Snowflake) (Vadodara)
🏢 The Commerce Team Global
📍 Vadodara