Senior Data Architect
1 week ago
We are seeking a talented Data Architect to join our team.
A successful candidate will have expertise in designing and implementing scalable data systems, including experience with AWS, Python, and PySpark. The ideal candidate will also possess strong problem-solving skills, excellent communication abilities, and the ability to work effectively in a fast-paced environment.
Responsibilities
- Data Engineering: Design, develop, and deploy large-scale data processing pipelines using AWS services such as Amazon EMR, Amazon Athena, and AWS Glue.
- Big Data Technologies: Develop expertise in handling massive datasets using Big Data technologies such as Hadoop, Spark, and NoSQL databases.
- Python and PySpark Development: Develop high-quality code in Python and PySpark for data analysis and processing.
Requirements
- Experience: 5+ years of overall IT experience, which includes hands-on experience in Big Data technologies.
- Skills: Strong knowledge of Python, PySpark, and AWS services, along with excellent problem-solving skills and effective communication abilities.
- Education: Bachelor's degree in Computer Science or related field.
Benefits
- Professional Growth: Opportunity to work on exciting projects and collaborate with experienced professionals.
- Competitive Compensation: Competitive salary and benefits package.
- Collaborative Environment: Collaborative and dynamic work environment with a diverse team.
Other Information
We are an equal opportunities employer and welcome applications from all qualified candidates. If you are passionate about working with big data and are looking for a challenging role, please submit your application.
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