Senior Data Engineer

Job description

About Us

Upskills provides expert financial software consulting for investment banks and leading financial institutions in Asia Pacific, Middle East and Europe region. With a strong, Front to Back expertise of the cash and derivatives markets, coupled to an in-deep knowledge of financial markets technologies, we provide smart, business-wise and efficient solutions.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availablity, scalability, and reliability of our ML solutions.

Key Responsibilities:

  • Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
  • Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
  • Ensure data quality and integrity throughout the data processing lifecycle
  • Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
  • Optimize data engineering workflows for containerized deployment and efficient resource utilization
  • Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
  • Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
  • Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
  • Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
  • Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
  • Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
  • Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank


  • Master/ Bachelors 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

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