
Senior Data Architect
4 days ago
Experience: 12-16 years of software development experience with a deep understanding of algorithms, data structures, design patterns, data pipelines and data warehousing.
- A strong background in algorithmic thinking and data structure optimization is crucial for efficient data processing and analysis.
- Hands-on experience in one or more programming languages such as Java, Scala, Python, or similar languages to handle complex data transformations and machine learning tasks.
- Proficiency in distributed processing using Spark and Hive, and a good understanding of large-scale distributed infrastructures for data processing and analytics.
- Hands-on experience with AWS Cloud Computing platforms, understanding of scalability and reliability issues, and knowledge of Modern Data solutions cloud experience.
- Excellent understanding of Kubernetes including its core components and architecture, for CI/CD support, Cloud Compatibility, Auto scaling, schedule and manage jobs related to ETL, streaming, etc.
Key responsibilities include:
- Designing and implementing efficient data pipelines to process and analyze large datasets.
- Developing and optimizing machine learning models to extract insights from data.
- Implementing fast data storage and retrieval systems to meet business needs.
Required skills and qualifications:
- Big data, Spark, Scala, and AWS
- Kubernetes, Kafka
This role offers the opportunity to work with cutting-edge technologies and contribute to the growth and success of our organization. If you are passionate about data and have a drive to succeed, we encourage you to apply.
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