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Cloud Data Architect

2 weeks ago

Pune, Maharashtra, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Cloud Data Engineer

We are seeking a skilled Cloud Data Engineer to join our team.

Job Summary:

The ideal candidate will have expertise in designing, developing, and maintaining secure, scalable, and production-grade data pipelines and infrastructure.

This includes working with cloud-native services on AWS (S3, ECS, Lambda, CloudWatch), containerizing applications using Docker and orchestrating using Kubernetes for scalable deployments, and driving Agile ceremonies and ensuring successful sprint delivery.

Responsibilities:

  • Design and develop robust, scalable, and efficient ETL/ELT pipelines using Python and modern DataOps methodologies.
  • Implement data quality checks, pipeline monitoring, and error handling mechanisms.
  • Build data solutions using cloud-native services on AWS.
  • Containerize applications using Docker and orchestrate using Kubernetes for scalable deployments.
  • Work with infrastructure-as-code tools and CI/CD pipelines to automate deployments.
  • Design and optimize data models using PostgreSQL, Redis, and PGVector for high-performance storage and retrieval.
  • Drive Agile ceremonies and ensure successful sprint delivery.
  • Review pull requests, conduct code reviews, and enforce security and performance standards.
  • Collaborate closely with product owners, analysts, and architects to refine user stories and technical requirements.

Required Skills & Qualifications:

  • 10+ years of experience in Data Engineering, DevOps, or Software Engineering roles with a focus on data products.
  • Strong hands-on experience with Python, Docker, Kubernetes, and AWS (especially S3 and ECS).
  • Proficient with relational and NoSQL databases such as PostgreSQL, Redis, and experience with PGVector is a strong plus.
  • Deep understanding of CI/CD pipelines, GitHub workflows, and modern source control practices.
  • Experience working in Agile/Scrum environments with strong collaboration and communication skills.
  • PASSION FOR BUILDING CLEAN, WELL-DOCUMENTED, AND SCALABLE CODE IN A COLLABORATIVE ENVIRONMENT.
  • Familiarity with DataOps principles, including automation, testing, monitoring, and deployment of data pipelines.

Benefits:

  • Opportunity to work on cutting-edge data engineering projects.
  • Collaborative environment with experienced engineers.
  • Professional development opportunities.

Others:

  • Our company is committed to providing equal employment opportunities for all employees and applicants.
  • We encourage diversity and inclusion in the workplace.