Chief Data Architect

4 days ago


Rajkot, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

As a Data Engineer, you will play a pivotal role in crafting data platforms that drive business growth. Leveraging strong software engineering skills and AWS expertise, you will design and implement efficient data solutions that meet client needs.

About the Role:
  • Data Platform Design
    • Cultivate a deep understanding of end-to-end data platform architecture, from ingestion to transformation to consumption.
    • Collaborate with cross-functional teams to build and deploy data platforms in production environments.
  • AWS Ecosystem Expertise
    • Hands-on experience with AWS services relevant to data engineering, including Amazon EMR, AWS Glue, Amazon S3, Redshift, Athena, and EventBridge.
    • Ability to integrate these services into scalable and decoupled data pipelines and microservices.
  • Event-Driven Systems Development
    • AWS Lambda, API Gateway, Amazon SQS/SNS, and EventBridge expertise.
    • Ability to design and work within event-driven architectures, including service communication, deployment strategies, and monitoring.
  • Microservices Architecture
    • Familiarity with designing and working within microservices-based architectures.
Requirements:
  • Strong Software Engineering Skills
    • Solid programming expertise, especially in Python, with strong fundamentals in computer science, data structures, algorithms, and system design.
    • Proven problem-solving ability with a focus on writing clean, maintainable, and efficient code.
  • AWS Ecosystem Experience
    • In-depth knowledge and hands-on experience with AWS services relevant to data engineering.
  • Event-Driven Systems Development
    • Ability to design and work within event-driven architectures.
  • Microservices Architecture Understanding
    • Familiarity with designing and working within microservices-based architectures.

This is an engineering role requiring deep technical involvement in building, deploying, and maintaining the data platform.



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