Chief Cloud Engineer

18 hours ago

Kottayam, Kerala, India beBeeDataEngineering Full time ₹ 1,70,00,000 - ₹ 2,01,50,000
Cloud Architect Leader

As a key architect, you will be responsible for developing foundational components for a Lakehouse architecture on AWS and migrating existing data processing workflows to the new solution.

You will work closely with the Data Engineering organisation to design and implement scalable data infrastructure and processes using technologies such as Python, PySpark, EMR Serverless, Iceberg, Glue and Glue Data Catalog. The main goal of this position is to ensure successful migration and establish robust data quality governance across the new platform, enabling reliable and efficient data processing.

Required Skills and Qualifications
  • Extensive experience in software architecture and solution design, including microservices, distributed systems, and cloud-native architectures.
  • Expert in Python and Spark, with a deep focus on ETL data processing and data engineering practices.
  • Deep technical knowledge of AWS data services and engineering practices, with demonstrable experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, Athena.
  • Experience of delivering Lakehouse solutions/architectures.
Benefits
  • This role offers opportunities for career growth and professional development, working with a talented team of engineers and architects.
  • As a key member of the Data Engineering organisation, you will have the opportunity to contribute to high-profile projects and make a meaningful impact on the company's data strategy.
Others
  • Collaborate closely with architects, Product Owners, and Dev team members to decompose solutions into Epics, leading the design and planning of these components.
  • Drive the migration of existing data processing workflows to a Lakehouse architecture, leveraging Iceberg capabilities.
  • Serves as an internal subject matter expert in software development, advising stakeholders on best practices in design, development, and implementation.
  • Ability to provide technical direction, set high standards for code quality and optimize performance in data-intensive environments.

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