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.

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.
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.
The ability to adapt to new situations and learn quickly.
Able to collaborate and work well with others.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesSQLPythondata ingestiondata transformationdata storagedata qualitydata observabilitydata governanceService Level Agreements

Soft Skills

collaborationflexibilityadaptabilitylearning agilityteamwork