Cloud Data Engineering Lead

3 days ago


Hyderabad City Taluka, Pakistan beBee Careers Full time
Data Platform Solutions Architect

We are seeking a highly skilled Data Platform Solutions Architect to join our team. As a Senior Data Platform Engineer, you will be responsible for designing and implementing data platforms that meet the needs of our business. This includes working with data scientists, analysts, and engineers to identify requirements and deliver high-quality solutions.

The ideal candidate will have experience with cloud-based data platforms, including Azure. They will also have strong knowledge of data security, data quality, and governance principles. In addition, they will be able to work effectively in an agile environment and have excellent communication and collaboration skills.

Key Responsibilities:
  • Filling the role of a data platform engineer to design and build automation, monitoring, and instrumentation tools to reduce operational friction.
  • Provides leadership to engineering teams by defining and driving standards, utilizing data and related technologies.
  • Hands-on Azure application design, development, and support (fault-tolerant, disaster recovery, IaaC, etc.).
  • Ability to transfer the development flow to the CI / CD pipeline, which may include complex logic (rollbacks, manual steps, triggering other jobs, services, notifications, observability).
  • Holds accountability for the quality, usability, and performance of the platform solutions.

Requirements:
  • Bachelors degree in Computer Science.
  • 5+ years of experience in Cloud DevOps Concepts, Cloud Services and Architecture, and Azure DevOps Operational Framework.
  • 3+ years of experience in designing and building solutions for data security (implementing security measures using Azure Key Vault and encryption techniques), data engineering, data quality and observability, metadata management, data lineage, and data discovery.
  • Advanced knowledge of SQL, Python & shell scripting (like Azure CLI). Experience with Databricks is a must.
  • Deep understanding of core Azure capabilities (APIM, Vnet, etc.)
  • Working experience with DevOps and MLOps paradigms.
  • Experience with test-driven development & CI/CDs.
  • Understanding of data quality & governance principles.
  • Strong communication and leadership & collaboration skills.
  • Experience measuring, monitoring, and improving platform performance


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