Data Systems Engineer
2 weeks ago
We are seeking a skilled Data Engineer to design, develop, and maintain our data infrastructure at Datonomy Solutions.
Data Pipeline Development:
- Design, build, and maintain scalable data pipelines to extract, transform, and load data from various sources.
- Develop ETL processes to integrate data from multiple sources and create a unified data environment.
Data Integration and Management:
- Collaborate with cross-functional teams to ensure seamless data integration and ensure data quality and consistency across different systems.
- Implement best practices for data storage and retrieval to monitor and optimize the performance of data pipelines and ETL processes.
Collaboration and Communication:
- Work closely with data scientists, analysts, and other stakeholders to understand data needs and requirements.
- Provide support for data-related queries and requests and identify and resolve data-related issues and discrepancies.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- 5+ years of experience in data engineering and ETL development with proficiency in SQL, SAS, Oracle, and other database technologies.
- Strong problem-solving and analytical skills and excellent communication and collaboration abilities.
Preferred Qualifications:
- Experience with cloud platforms such as Azure.
- Familiarity with scripting languages like Python or R.
About Datonomy Solutions:
We are a leading data engineering company dedicated to delivering innovative data solutions to our clients.
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