AWS Data Engineer

We’re Hiring: Senior Data Engineer | Hybrid | All Xebia Locations

Apply by sending your resume to vijay.s@xebia.com

Locations:

Mode:

Experience:

Joining:

🚀 About the Role:

Senior Data Engineer

🔧 Key Responsibilities:

• Build and optimize robust Data Warehouse solutions
• Develop cloud-native, data-intensive applications (AWS experience required)
• Architect and implement

  Airflow

  -based workflow management systems
• Design, develop, and maintain

  Spark

  applications
• Work with modern data formats – Parquet, Delta Lake, OTFs
• Use

  IaC tools

  like Terraform/CDK/CloudFormation for infrastructure automation
• Establish observability via Datadog, Prometheus, or Grafana
• Drive CI/CD with GitHub Actions, Jenkins, or ArgoCD
• Collaborate across teams with business-aligned documentation and code

🔍 Required Skills:

• 5+ years in Python, JVM, and Shell scripting (production experience)
• 3+ years in cloud-native data applications (must:

  AWS

  , good to have: GCP)
• Strong hands-on experience in

  Databricks

  ,

  dbt

  , and

  Spark

• IaC tool expertise (

  Terraform

  preferred)
• Airflow experience is

  mandatory

• Containerization (Docker/Kubernetes) understanding
• Experience with unit testing, CI/CD pipelines, and code reviews
• Excellent written & verbal communication skills
• Ability to convert business needs into data solutions

📬 How to Apply:

CV

• Full Name

• Total Experience

• Current CTC

• Expected CTC

• Current Location

• Preferred Xebia Location

  (Chennai, Hyderabad, Bangalore, Pune, Bhopal, Jaipur, Gurugram)

• Notice Period / Last Working Day (if serving)

• Primary Skills

• LinkedIn Profile

Only apply if you're available to join immediately or within 2 weeks