
High-Profile Data Architect Opportunity
3 days ago
Key Responsibilities:
- Design and implement robust data pipelines using Python and Airflow.
- Utilize AWS services, including S3 for data storage, Glue and EMR for data processing, and orchestrate data workflows that are scalable, reliable, and secure.
- Implement real-time data processing solutions using Kafka, SQS, and Event Bridge.
- Oversee the integration of diverse systems and data sources through AppFlow, APIs, and other integration tools.
- Lead the development of data warehousing solutions, applying best practices in data modelling to support efficient data storage, retrieval, and analysis.
- Continuously monitor, optimize, and troubleshoot data pipelines and infrastructure to ensure optimal performance and scalability.
Requirements:
- 10+ years of experience in data engineering with at least 3 years in a leadership role.
- Proficient in Python programming and experience with Airflow for workflow management.
- Strong expertise in AWS cloud services, particularly in data storage, processing, and analytics (S3, Glue, EMR, etc.).
- Experience with real-time streaming technologies like Kafka, SQS, and Event Bridge.
- Deep knowledge of API based integrations and familiarity with integration tools such as AppFlow.
- Deep knowledge of data warehousing concepts.
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Benefits:
- Opportunity to work on high-profile projects with leading companies.
- Chance to develop expertise in emerging technologies and innovative approaches.
- Collaborative and dynamic work environment.
Why This Role?
This is an exciting opportunity to join a team of experts in data architecture and engineering. As a Data Architect, you will have the chance to design and implement cutting-edge data solutions, collaborate with a talented team, and contribute to the company's growth and success.
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