Quantexa Data Engineer - Banking at Synechron

Job Description:

Latest job information from Synechron for the position of Quantexa Data Engineer - Banking. If the Quantexa Data Engineer - Banking vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Synechron for the position of Quantexa Data Engineer - Banking below matches your qualifications.

Our Client

One of the leading bank with a global network and territories in Asia Pacific, Europe and America.

Your Profile

Our client is 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.

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
• 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
• Provide technical leadership, mentorship, and guidance to junior team members

Requirements:

• At least 6 years of 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 jobs schedulers like Control-m
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus
• Key Skills: Scala, Python, Spark, Java, SQL, Shell Script, Java, Hadoop / Cloudera, Elastic Search, Read Heat OCP

We welcome interested applicants to submit their applications via 'Apply Now'. Kindly note that only shortlisted candidates will be notified.

Job Info:

• Company: Synechron
• Position: Quantexa Data Engineer - Banking
• Work Location: Singapore
• Country: SG

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Quantexa Data Engineer - Banking at the office Singapore above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.