Senior/Lead Data Software Engineer
at EPAM Systems Inc
távmunka, , Hungary -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 22 Apr, 2025 | Not Specified | 23 Jan, 2025 | 3 year(s) or above | Python,Apache Spark,Version Control,Data Processing,Azure,Linux,Code Review,Sql,Aws,Bash,Java,Agile Methodologies,Scala | 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:
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a Senior/Lead Data Software Engineer to join our team in Hungary.Learn more about our Data Practice here.
REQUIREMENTS
- 3+ years of hands-on experience in data processing focused projects
- Proficiency with Java or Python or Scala and SQL
- Knowledge of Apache Spark
- Experience with one of the major cloud providers AWS, Azure or GCP
- Hands-on experience with a few selected data processing technologies, e.g., Hadoop, MongoDB, Cassandra, Kafka, Elasticsearch, Python libraries (Pandas/NumPy/…) data processing tools of cloud providers (EMR/Glue/Data Factory/Big Table/…)
- Relevant experience with version control and code review
- Knowledge of Agile methodologies
- Linux and Bash scripting basics
Responsibilities:
- Design, construct, install, test and maintain highly scalable and optimized data pipelines with state-of-the-art monitoring and logging practices
- Bring together large, complex, and sparse data sets to meet functional and non-functional business requirements and use a variety of languages, tools and frameworks to marry data
- Design and implement data tools for analytics and data scientist team members to help them in building, optimizing, and tuning of use cases
- Tackle challenging and varied problems related to gaining further maturity in Data Platform tools, processes, and engineering capabilities
- Focus on engineering excellence to deliver high-quality solutions that provide leverage for the company’s objectives
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
távmunka, Hungary
