DataOps​/DevOps Engineer; Python | AWS | Snowflake

Data Ops / Dev Ops Engineer (Python | AWS | Snowflake)

Location:

Vadodara, Gujarat

Employment Type:

Full-time (On-site)

Experience Range: 2-5 years

We are looking for a Data Ops/Dev Ops 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.

• Data Ops Automation
• Build and maintain CI/CD pipelines for data ingestion, transformation, and analytics workloads
• Automate ETL/ELT job deployments using tools such as Git Hub Actions, Jenkins, or AWS Code Pipeline
• Develop Python utilities for orchestration, metadata tracking, and operational workflows
• Implement data quality and validation checks as part of deployment workflows
• Dev Ops & 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 Cloud Formation
• Set up monitoring, alerting, and logging via Cloud Watch, Prometheus, or Datadog
• Ensure high availability, backup, and disaster‑recovery 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 optimization
• Build integrations between Snowflake, AWS (S3, Lambda, Kinesis), and BI tools such as Superset and 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

• Programming:
  Python (must have), Bash scripting
• Cloud: AWS services such as S3, Lambda, Glue, ECS, IAM, and Cloud Formation
• Data Platform:
  Snowflake (SQL, Snowpipe, Streams, Tasks, RBAC)
• Dev Ops: CI/CD pipelines using Git Hub Actions, Jenkins, or AWS Code Pipeline
• IaC:
  Terraform or AWS Cloud Formation
• Version Control:
  Git, Git Hub, Git Lab
• Monitoring:
  Cloud Watch, Grafana, or Datadog
• Operating System:
  Linux / Unix

• 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 such as AWS KMS and Secrets Manager

The Commerce Team Global (TCTG) is a leading eCommerce specialist developing solutions on Salesforce Commerce Cloud, Big Commerce, Shopify, and other platforms to drive client success. With a global team of 60+ tech enthusiasts, we continuously expand our reach and deliver high‑quality, scalable eCommerce experiences.