Lead Data Software Engineer
at Epam Systems
Desde casa, Cauca, Colombia -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 29 Jan, 2025 | USD 200 Annual | 30 Oct, 2024 | N/A | Docker,Yarn,Security,Debugging,Data Modeling,Communication Skills,Python,Software Development,Fault Tolerant Systems,Kotlin,Scala,Hive,Kubernetes,Aws,Data Warehousing,Independence,Tuning,Java,Data Visualization,Sql,Configuration Management,Azure | 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:
We are seeking a Lead Data Software Engineer to join our remote team.
The chosen candidate will play a crucial role in developing innovative analytical solutions using Spark/PySpark, NoSQL, and other Big Data-related technologies. Additionally, they will implement new features in Cloud solutions (AWS, GCP, Azure). The candidate will work closely with product and engineering teams to understand requirements and influence decisions. This position offers an exciting opportunity to significantly contribute to the growth and success of our company.
Apply to leverage your expertise!
We accept CVs in English only.
REQUIREMENTS
- Minimum 5 years engineering experience in Data Management, Data Storage, Data Visualization, Operation, and Security
- Proficiency in at least one programming language: Python, Java, Scala, or Kotlin
- Experience with SQL and strong familiarity with Big Data tools, mainly Spark/PySpark, and optionally Hadoop, Hive, and Flink
- Comprehensive understanding of Cloud Solutions for Data environments, such as AWS, Azure, and GCP
- Understanding of CI/CD and software development using Big Data technologies
- Experience with software development with Big Data technologies, including administration, configuration management, monitoring, debugging, and performance tuning
- Familiarity with data ingestion pipelines, Data Warehousing, and Data Lakes
- Experience with data modeling and development of scalable, available, and fault-tolerant systems
- Analytical approach to problems with excellent interpersonal and communication skills
- Motivation, independence, efficiency, and ability to work under pressure with a solid sense for setting priorities
- Knowledge of Containers and Resource Management systems like Docker, Kubernetes, and Yarn
- Experience in direct customer communications
Responsibilities:
- Development and execution of innovative analytical solutions using Spark/PySpark, NoSQL, and other Big Data-related technologies
- Collaboration with product and engineering teams to understand requirements and influence decisions
- Regular interaction with architects, technical leads, and other key individuals within different functional groups
- Analysis of business problems and technical environments for the implementation of quality technical solutions
- Participation in code review and testing solutions to ensure adherence to best practice specifications
- Documentation of project details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Desde casa, Colombia
