Bachelor Degree5 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPythonSQL
Job Description
• Design, construct, and deploy highly efficient and reliable data pipelines that seamlessly transfer data across various platforms, including Data Warehouses and real-time systems.
• Develop deep expertise in these data pipelines and manage their Service Level Agreements (SLAs) to ensure optimal performance.
• Optimize data ingestion, transformation, and storage for performance, reliability and scalability.
• Collaborate with Data Analysts, Data Scientists and business stakeholders to create internal data products aimed at boosting operational efficiencies across the organization.
• Implement data quality, observability and governance best practices.
Job Requirements
- Up to 5 years of experience including internship within a technology company.
- Bachelors or Masters degree in Computer Science, Information Technology or a related field.
- Competent in SQL and Python. Can implement advanced data manipulation and build highly reliable data ingestion pipelines from scratch.
- Proven ability & demonstrated flexibility to collaborate effectively with distributed teams and stakeholders across global time zones.
- Exposure to cloud computing platforms (AWS, GCP, or Azure) and infrastructure as code.
- Communicate clearly, especially to technical audience effectively, both verbally and in writing
- The ability to adapt to new situations and learn quickly is valuable in a fast-paced work environment.
- Able to collaborate and work well with others can contribute to a positive work environment.
- Can manage their time effectively and prioritize tasks is more likely to be productive and efficient.
Benefits
- Competitive pay and benefits
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