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Über
Bachelor's or Masters in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering with at least 2 years in Snowflake. Strong experience with SQL, Snowflake architecture, and performance tuning. Hands-on experience with ETL tools and orchestration frameworks (Airflow preferred). Familiarity with cloud platforms (AWS/Azure/GCP) and data lake integration. Proficient in Python or Scala for scripting and data transformation. Knowledge of CI/CD, Git, Terraform, or Infrastructure as Code (IaC) is a plus. Experience with data governance and cataloging tools is a strong advantage. Educational Qualification and/or Work Experience Requirements
A Bachelors or masters degree in computer science, Information Systems, Engineering, or a related technical discipline. Minimum of 5 years of overall experience in data engineering, with a strong focus on building scalable data pipelines and working in cloud-based data environments. At least 2 years of hands-on experience with
Snowflake , including design, development, and optimization. Experience in working within Agile/Scrum development teams and fast-paced environments. Proven ability to collaborate with cross-functional teams including data scientists, analysts, and architects. Snowflake SnowPro Core or Advanced Architect Certification preferred. AWS Certified Data Analytics Specialty or Azure Data Engineer Associate Certification preferred. Job ID: LTI/NJ/SFDE/04/25 Tel.: (908) 548-8324 E-Mail: jobs@logisofttechinc.com #J-18808-Ljbffr
Wünschenswerte Fähigkeiten
- AWS
- Azure
- GCP
- Git
- Python
- SQL
- Scala
Berufserfahrung
- Data Engineer
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.