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Senior Data Architect
2 weeks ago
A skilled data architect with 12-16 years of experience in software development is required to design and develop large-scale distributed infrastructures, data warehousing, and efficient data pipelines.
Develop and maintain high-performance data processing systems using algorithms, data structures, and design patterns.
Implement efficient data transformations using strong hands-on experience in programming languages such as Java, Scala, or Python.
Design and develop scalable and reliable data processing systems using Spark, Hive, Hadoop, Kafka, and Redis.
Work on Kubernetes architecture, CI/CD support, cloud compatibility, auto-scaling, and job scheduling for ETL, streaming, and other processes.
Requirements:
5+ years of experience in software development
Deep understanding of algorithms, data structures, design patterns, and data pipelines
Strong hands-on experience in one or more programming languages (Java, Scala, Python)
Experience in distributed processing using Spark and Hive
Hands-on experience with AWS Cloud Computing platforms and scalability/reliability issues
Good understanding of Kubernetes, including its core components and architecture
Preferred Skills:
Big Data
Spark
Scala
AWS
Kubernetes
Kafka
Highly motivated professionals with excellent problem-solving skills are ideal candidates. Strong collaboration and communication skills are essential to deliver results-oriented solutions.
Why This Role MattersThis role offers an exciting opportunity to contribute to the success of our organization by designing and developing innovative data architectures and data engineering systems.
What We Offer:
Competitive compensation and benefits package
Opportunities for professional growth and development
Collaborative and dynamic work environment