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Data Engineer

  • Full Time, onsite
  • HTC Global Services (India) Private Limited
  • Singapore, Singapore
$ 8,000 - $ 10,000 / month

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Job Description

Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field

Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

Experience with Graphana, Prometheus, Splunk will be an added benefit

Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

Excellent collaboration and communication skills to work effectively with cross-functional teams

Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Job Description

Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field

Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

Experience with Graphana, Prometheus, Splunk will be an added benefit

Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

Excellent collaboration and communication skills to work effectively with cross-functional teams

Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus