Data Engineer
1 week ago
We are seeking a highly skilled Data Engineer to join our team at MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD. As a key member of our data engineering team, you will be responsible for designing, implementing, and maintaining large-scale data processing systems.
Key Responsibilities- Lead end-to-end data migration projects from on-premises environments to Databricks, ensuring minimal downtime and optimal performance.
- Collaborate with architects to design solutions that meet both functional and non-functional requirements, ensuring scalability and reliability.
- Process near real-time data using Auto Loader and DLT pipelines, leveraging expertise in AWS, Databricks services, and data engineering best practices.
- Identify and resolve data-related issues, providing support to ensure data availability and integrity, and optimize resource usage to control costs while meeting performance and scalability requirements.
- Bachelor's or master's degree in Computer Science, Data Engineering, or a related field.
- Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica Intelligent Data Management Cloud (IDMC).
- Proficiency in Python, Java, or Scala for building data pipelines, with excellent knowledge of SQL and NoSQL databases.
- Background in Python, with ability to identify, communicate, and mitigate risks and issues, and hands-on experience in configuring Databricks clusters, writing PySpark code, and building CI/CD pipelines for deployment.
- Highly experienced in optimization techniques such as Z-ordering, Auto Compaction, and vacuuming, and familiarity with data modeling and schema design.
- Experience with big data technologies like Apache Spark and Hadoop on Databricks, knowledge of AWS services focusing on data and architecture, and knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with data visualization tools like Tableau or Power BI, understanding of DevOps principles for managing and deploying data pipelines, and experience with version control systems (e.g., Git) and CI/CD pipelines.
- Knowledge of data governance and data cataloging tools, especially Informatica IDMC (Intelligent Data Management Cloud), and Databricks certifications, and Informatica certifications are a plus.
The ideal candidate will have a strong background in data engineering, with expertise in cloud-based data processing systems and experience working with large datasets. They will also possess excellent problem-solving and analytical skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
About the RoleThis is a full-time position based in Singapore, with a competitive salary range of SGD 120,000 - SGD 180,000 per annum, depending on experience. The successful candidate will be offered a comprehensive benefits package, including medical insurance, retirement plan, and paid time off.
We offer a dynamic and supportive work environment, with opportunities for professional growth and development. If you are a motivated and talented data engineer looking to take your career to the next level, we encourage you to apply for this exciting opportunity.
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