Senior Data Engineer Remote
We are seeking a highly skilled Senior Data Engineer with strong experience in data architecture, ETL processes, and cloud technologies. The ideal candidate will have a solid background in data modeling, programming, and advanced analytics, and will contribute to building scalable data solutions in a cloud-based environment.
Minimum Requirements
Education: Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
Experience: 5+ years in data engineering or related roles.
Languages: Advanced English (minimum B2 level).
Technical Skills
Strong knowledge of:
Big Data & Data Management
Information Architecture
ETL (Extract, Transform, Load) processes
Data Modeling (conceptual, logical, physical)
Data Warehousing & BI
Advanced Analytics
Experience with:
Cloud technologies (AWS RDS, AWS Fargate)
Databases & Data Warehouses (Snowflake, PostgreSQL, MS SQL)
Programming (Java and/or Python)
ETL tools (especially AWS Glue)
Familiarity with Agile frameworks (Kanban, SAFe, SCRUM)
Critical thinking, analytical mindset, and problem-solving skills
Excellent communication and teamwork abilities
Certifications
Required: AWS Certified Data Engineer Associate
Preferred: Snowflake SnowPro Core
Additional Notes
Experience with CI/CD tools or Infrastructure as Code (e.g., Terraform, Jenkins) is not required, as infrastructure is managed by a separate team.
Candidates with at least 1 year of experience in Snowflake and AWS Glue are preferred.
Experience with ETL, orchestration, and visualization tools is desirable.
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