Senior Data Engineer
at Epam Systems
Australia, , Australia -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 06 Nov, 2024 | Not Specified | 07 Aug, 2024 | 8 year(s) or above | Sql,Airflow,Working Experience,High Proficiency,Spark,Big Data,Python,Data Integration,Modeling | 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:
Are you a passionate about creating scalable services? We’re seeking a Senior Data Engineer to join our Customer Success and Support Data Engineering team. In this role, you’ll construct top-tier data solutions and applications vital for organizational decision-making.
REQUIREMENTS
- 8+ years of working experience as a Data Engineer
- High proficiency in SQL, specifically Databricks SQL
- Extensive knowledge of Spark
- Proficient in Python, particularly PySpark and writing on top of Airflow
- Experience with data integration, modeling, and the use of REST APIs
- General understanding of big data, the AWS suite, and Airflow
- Some experience in building ETL pipelines
WE OFFER
- By choosing EPAM, you’re getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 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:
- Assist with reviewing incoming support tickets and minimal ticket interactions, with guidance from the existing team
- Develop datamarts, and separate data models for analytic purposes, working in sprints, and accommodate requirements from Data Scientists by end of each quarter
- Handle ad-hoc requests (on-call support expected)
- Construct ingestion pipelines (minor part of the job)
- Create clear, helpful documentation to enable both technical and non-technical users to utilize the information you provide
- Provide support on a 12/5 basis
- Collaborate with and support the Data Science teams
REQUIREMENT SUMMARY
Min:8.0Max:13.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Australia, Australia
