We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Data Engineer
Location
United States
Posted
16 days ago
Salary
Not specified
No structured requirement data.
Job Description
Job Requirements
- Expert knowledge of Python
- Expert knowledge of SQL
- Experience with DevOps mode of work
- 7+ years of professional experience
- 5+ years of experience working in data engineering, business intelligence, or a similar role
- 5+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, etc. using AWS/GCP
- 3+ years of experience with distributed data processing tools like Spark, Presto, etc. and streaming technologies such as Kafka/Flink
- 3+ years of experience with SnowFlake (preferred) or another big data database platform
- 3+ years of experience with cloud service providers: Amazon AWS (preferred) or other major clouds
- Expertise with containerization orchestration engines (Kubernetes)
- MS in Computer Science, Software Engineering, or relevant field preferred, BS in one of same fields acceptable
Benefits
- Fully remote workspace with no pressure to work in an office
- Flexible working hours to balance life and work
- Opportunity to work in a fast-growing and energizing team
- Culture that encourages employees to be themselves and take risks
- Commitment to employee happiness and empowerment
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