
Chief Data Pipeline Specialist
2 days ago
Job Overview:
We are seeking a skilled Data Architect with strong expertise in designing and building scalable, efficient data flows and pipelines in a cloud environment.
The ideal candidate will have hands-on experience with real-time data ingestion using Kafka, proficiency in Spark for data processing, and familiarity with AWS cloud services such as Glue and Athena.
About the Role:
- Design, develop, and optimize data processing pipelines leveraging Python, SQL, and Spark to drive business value.
- Develop scalable and repeatable data flows and management solutions in a Cloud environment.
- Utilize Kafka platform for real-time, high-volume data ingestion and processing.
- Implement infrastructure-as-code practices for deployment consistency and reliability.
- Maintain and use version control systems such as GIT; develop and update technical documentation.
- Collaborate effectively with cross-functional teams, ensuring strong communication and agile delivery.
- Apply Agile, Scrum, or Kanban methodologies to manage product delivery efficiently.
Qualifications & Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Minimum 4 years of professional experience building data pipelines and managing big data technologies.
- Strong hands-on experience with ETL frameworks (e.g., Airflow, Jenkins) for production deployment.
- Deep understanding of data structures and willingness to adopt new technologies.
- Experience with AWS cloud tools, including Glue and Athena.
- Proficient in English, with excellent communication skills.
- Demonstrated ability to deliver data engineering solutions with a product-oriented mindset.
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