Data Engineers - 100% remote, ASAP, 12+ months
wynwood tech LLC
Germany
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Continuous Integration
Information Engineering
Extract Transform Load (ETL)
DevOps
Python (Programming Language)
SQL Azure
Standard Sql
SQL Databases
Data Processing
Azure Data Factory
+8 more
Apache Spark
Data Lakes
Kubernetes
Terraform
Stream Processing
Data Pipelines
Docker
Databricks
Job description
- Data Engineering (in general)
- Python
- Azure (in general)
- Azure Data Factory
- ADLS
- Azure SQL
- Databricks
- Apache Spark
- Delta Lake
- ETL/ELT Development
- Real-Time Data Processing
- AI-Ready Data Processing
- Data Quality & Anomaly Detection
- SQL
- DevOps
- CI/CD
- Terraform
- Docker
- Kubernetes
- AKS
Requirements
Do you have experience in Terraform?, * Experience in data engineering, including building and maintaining scalable data pipelines.
- Good knowledge of Python, SQL, and Azure data services such as Azure Data Factory, ADLS, Azure SQL, and Databricks.
- Experience with Apache Spark, Delta Lake, and ETL/ELT development.
- Familiarity with real-time data processing, AI-ready data pipelines, and data quality or anomaly detection.
- Knowledge of DevOps and CI/CD practices, including tools such as Terraform, Docker, Kubernetes, or AKS.
Are you interested?
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