The Data Engineer will design, develop, and maintain data pipelines, ensuring data quality and performance. This role involves collaboration with cross-functional teams, implementing CI/CD pipelines, optimizing workflows on OpenShift, and mentoring junior team members while staying updated with industry trends.
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 availability, scalability, and reliability of our ML Solutions.
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 .
- Proven 4+ 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 Graphana, Prometheus, Splunk will be an added benefit
- Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
- 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
Top Skills
Java
Python
Scala
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
Similar Jobs
Be an Early Applicant
As a Junior Data Engineer, you will design, develop, and maintain data pipelines using Hadoop and Spark. You will collaborate with teams to ensure data quality, and implement CI/CD processes with DevOps. The role requires optimizing workflows for containerized deployment and mentoring junior members.
Be an Early Applicant
The Data Engineer (Python) will be responsible for ingesting data from various sources, curating data assets, collaborating with teams, deploying ML models, and architecting data pipelines to enable informed decision-making. The role focuses on enhancing the user experience through data-driven solutions.
Be an Early Applicant
As a Junior Data Engineer, you will support the Regional Data team by building data pipelines, ingesting data sources into the data warehouse, and creating tools for data consumers. You will ensure high-quality data assets for data scientists and collaborate with cross-functional teams to enhance data-driven decision-making.
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
