Data Engineer
Offer summary
Qualifications:
At least 5 years of experience in building data pipelines., Proficiency in Python, Java, and SQL., Experience with cloud platforms like GCP, AWS, or Azure., Hands-on experience with data warehouses, databases, and workflow tools like Airflow..Key responsibilities:
- Develop and maintain data pipelines and workflows.
- Work with data warehouses and large datasets.
- Integrate data across different services and platforms.
- Collaborate with teams to optimize data processes.
Job description
Job Title: Data Engineer
Duration: Fulltime (Canada)
Location: 100% Remote Work
Salary: Market ($Open)
Requirements
· Minimal 5 years handson experience on building Data Pipelines.
· Minimal 5 years handson experience in Python, Java and SQL
· Used Python libraries like Pandas, Numpy, Scipy or matplotlib
· Significant experience with public cloud technologies GCP or AWS or Azure
· Hands on experience in working with data warehouses and large amount of data.
· Experience with working in Airflow technology to build workflows.
· Experience with relational and nosql databases.
· Experience building external integrations and mapping data from one service in to another.
Benefits
Note: If interested please send your updated resume to ajith.anthoniraj@two95intl.com and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward hearing from you at the earliest!
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Experience
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