Overview:
We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing data solutions, ensuring data is accessible and easy to use for analytical purposes.
Responsibilities:
- Design, develop and implement new features to our existing framework using PySpark and Python.
- Write efficient and effective standalone scripts in PySpark with transformations as per the defined business logic.
- Use your expertise in Python and Object-oriented concepts to solve complex problems and implement robust solutions.
- Work closely with the team to understand the requirements and develop solutions that align with the company's objectives.
- Test and debug code to ensure it produces the desired results.
- Document all programming tasks and procedures for future reference and troubleshooting.
Qualifications:
- Proficient in Python, PySpark, and Object-oriented programming concepts.
- Proven experience as a Senior Data Engineer or similar role.
- Strong problem-solving techniques with an ability to troubleshoot complex software issues.
- Experience with AWS is preferred, but not mandatory.
- Excellent communication skills, both written and verbal.
- Self-motivated and able to work independently with minimal supervision.
This position requires a strong background in data engineering principles and technologies. The successful candidate will have the opportunity to work on cutting-edge projects and contribute to the growth of our data infrastructure.
Job Type: Contract
Pay: $64.27 - $68.82 per hour
Expected hours: 40 per week
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Professional development assistance
Experience level:
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Experience:
- Informatica: 1 year (Required)
- SQL: 1 year (Required)
- Data warehouse: 1 year (Required)
- AWS: 5 years (Required)
- Python: 5 years (Required)
- pyspark: 3 years (Required)
Work Location: Remote