Data Engineer

We are seeking a highly motivated Data Engineer to join a dynamic Enterprise Data team.

This role involves designing and developing robust data pipelines, working with cloud-native technologies, and contributing to innovative solutions that power next-generation digital services.

The ideal candidate will have strong experience in Python or Java, cloud platforms, and modern data engineering tools.

• Design, develop, and maintain scalable data pipelines to support ETL/ELT use cases.
• Build applications and platforms using Python and/or Java.
• Implement and optimize workflows using Apache Hop, Apache Beam, Spark, and Airflow.
• Configure and deploy containerized applications in public cloud environments (Azure/AWS).
• Apply Infrastructure-as-Code practices using tools like Terraform, Cloud Formation (CFT), or ARM templates.
• Integrate CI/CD tools such as Git Hub, Artifactory, and Jenkins into development workflows.
• Configure alerts and monitoring to ensure platform reliability and availability.
• Collaborate with global engineering teams to deliver innovative solutions.
• Solve complex problems and adapt to evolving requirements.
• Communicate effectively with stakeholders and influence technical decisions.

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Hands-on experience with Python and/or Java development.
• Experience designing and maintaining data pipelines and workflows.
• Strong knowledge of cloud platforms (Azure or AWS).
• Practical experience with containerization and deployment automation.
• Proficiency with Infrastructure-as-Code tools (Terraform, CFT, ARM).
• Experience with CI/CD tools (Git Hub, Jenkins, Artifactory).
• Strong problem-solving and communication skills.

• Certification in Azure or AWS.
• Experience with data movement platforms like Snap Logic or Informatica.
• Familiarity with virtual databases and data replication platforms.

• Preferred:
  Azure or AWS Cloud Certification