Cloud Native Data Engineer

22 hours ago


Surat, Gujarat, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000
Senior Data Solutions Architect

We are seeking a highly skilled Senior Data Solutions Architect to join our team.

The successful candidate will be responsible for leading the design and implementation of our data warehouse solution, ensuring that it meets the business requirements and is scalable, secure, and efficient.

A strong understanding of cloud-native data-intensive applications, Amazon Web Services (AWS), and experience with modern data warehouses are essential for this role.

We are looking for someone who can propose and review architecture, solve complex data modeling issues, and have excellent communication skills to interact directly with clients.

The ideal candidate will have at least 10+ years of experience in software development, data structures/algorithms, and backend engineering, with a focus on data engineering.

Key qualifications include:

  • 10+ years of experience in data engineering with 4+ years leading teams
  • 8+ years of hands-on experience using Python, JVM, and Shell Scripting with production experience
  • 5+ years of proven experience building cloud-native data-intensive applications, Amazon Web Service experience is a must
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Hands-on experience building and maintaining Spark applications
  • Fundamental understanding of Parquet, Delta Lake, and other OTFs file formats
  • Proficiency in an IaC tool such as Terraform, CDK, or CloudFormation
  • Experience with observability systems (such as Datadog or Prometheus/Grafana)

The Senior Data Solutions Architect will also be responsible for:

  • Proposing and reviewing architecture
  • Solving complex data modeling issues
  • Interacting directly with clients for requirement gathering
  • Building a holistic roadmap
  • Identifying risks and having mitigation strategies
  • Providing constructive feedback during code reviews

This is a fantastic opportunity for a seasoned professional to take their career to the next level and make a meaningful impact in the field of data engineering.



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