Senior Software Engineer (DSE)
at Epam Systems
Singapore, Southeast, Singapore -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 24 Apr, 2025 | Not Specified | 24 Jan, 2025 | 7 year(s) or above | Bitbucket,Communication Skills,Spark,Hadoop,Python,Docker,Hive,Kubernetes,Computer Science,Automation Tools,Scala,Openshift,Containerization,Java,Ansible,Information Technology,Data Engineering,Collaborative Environment,Jenkins | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
As a Senior Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.
REQUIREMENTS
- Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field
- 7+ years of experience as a Data Engineer with expertise in Hadoop, Spark, and related technologies (HDFS, Hive, Ranger)
- Strong proficiency in Spark, Python, Scala, or Java for data engineering tasks
- Experience with containerization (Docker, Kubernetes) and orchestration platforms like OpenShift
- Knowledge of DevOps practices, CI/CD pipelines, and automation tools (Jenkins, Ansible, BitBucket)
- Strong problem-solving, troubleshooting, and communication skills
- Ability to work effectively in a fast-paced, collaborative environment
WE OFFER
- By choosing EPAM, you’re getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023
- Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
- You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
- We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
- At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us
Responsibilities:
- Lead the design, development and implementation of data pipelines, transformations and aggregations to support analytics and machine learning initiatives
- Optimize Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch
- Design and deploy data engineering solutions on OpenShift using containerization and orchestration techniques
- Implement and maintain CI/CD pipelines for data engineering workflows, ensuring platform stability and efficient resource utilization
- Stay abreast of emerging technologies and best practices in data engineering and DevOps
- Collaborate with cross-functional teams to define data requirements and translate them into robust and scalable solutions
- Mentor and guide junior team members, fostering a culture of continuous learning and innovation
REQUIREMENT SUMMARY
Min:7.0Max:12.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer science data engineering information technology or a related field
Proficient
1
Singapore, Singapore
