Senior Data Engineer

Job Title:

Location:

Experience Required:

Job Summary:

Data Engineer

Key Responsibilities:

• Design and implement scalable, secure, and high-performance data solutions on

  Azure

  .
• Develop, deploy, and manage

  RESTful APIs

  to support data access and integration.
• Build and maintain

  ETL/ELT data pipelines

  using

  Azure Data Factory

  ,

  Databricks

  , and

  Azure Functions

  .
• Integrate data workflows with

  Azure Service Bus

  and other messaging services.
• Define and implement cloud infrastructure using

  Terraform

  and Infrastructure-as-Code (IaC) best practices.
• Collaborate with stakeholders to understand data requirements and develop technical solutions.
• Ensure best practices for

  data governance

  ,

  security

  ,

  monitoring

  , and

  performance optimization

  .
• Work closely with DevOps and Data Architects to implement CI/CD pipelines and production-grade deployments.

Must-Have Skills:

• 7+ years of professional experience in

  Data Engineering

  or related roles.
• Strong hands-on experience with

  Azure services

  , particularly:

• Azure Data Factory (ADF)

• Databricks

  (Spark-based processing)

• Azure Functions

• Azure Service Bus

• Proficient in

  API development

  (RESTful APIs using Python, .NET, or Node.js).
• Good command over

  SQL

  ,

  Spark SQL

  , and

  data transformation

  techniques.
• Experience with

  Terraform

  for IaC and provisioning Azure resources.
• Excellent understanding of

  data architecture

  ,

  cloud security

  , and

  governance models

  .
• Strong problem-solving skills and experience working in Agile environments.

Preferred Skills:

• Familiarity with

  CI/CD tools

  like Azure DevOps, GitHub Actions, or Jenkins.
• Exposure to

  event-driven architecture

  and real-time data streaming.
• Knowledge of

  containerization

  (Docker/Kubernetes) is a plus.
• Experience in

  performance tuning

  and

  cost optimization

  in Azure environments.