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. Key Responsibilities 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, CloudFormation (CFT), or ARM templates. Integrate CI/CD tools such as GitHub, 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. Required Qualifications 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 (GitHub, Jenkins, Artifactory). Strong problem-solving and communication skills. Preferred Qualifications Certification in Azure or AWS. Experience with data movement platforms like SnapLogic or Informatica. Familiarity with virtual databases and data replication platforms. Certifications Preferred: Azure or AWS Cloud Certification #J-18808-Ljbffr