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Senior Data Systems Engineer
3 weeks ago
The primary objective of this role is to design, build and maintain large-scale data systems.
Mandatory Skills:
- Data Engineering: Experience in designing and implementing data pipelines, architectures and tools
- ETL: Hands-on experience with Extract, Transform, Load processes
- Python: Proficiency in developing applications using Python
- SQL: Strong knowledge of relational databases and query languages
- AWS Cloud: Familiarity with Amazon Web Services cloud infrastructure
Education Requirements:
Applicants must hold a degree in computer science, engineering or a related field.
Key Responsibilities- Designing and developing scalable data architectures
- Implementing ETL processes for data integration and transformation
- Developing Python applications for data processing and analysis
- Ensuring data consistency and integrity across various systems
- Collaborating with cross-functional teams for project delivery
- Cloud: Experience working in a cloud environment (e.g. AWS)
- Python: Hands-on experience developing with Python
- Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka
- Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow)
- Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation)
By joining our organization, you will be part of a dynamic team that strives to deliver innovative solutions and push the boundaries of what is possible with data-driven approaches.