Senior Data Engineer

2 days ago

Karachi, Sindh, Pakistan BlueBerry Tech inc Full time

As a Senior DevOps Engineer, you will lead the development of internal tools, shape work environments, and seamlessly integrate IT operations. Your focus on managing CI/CD pipelines ensures reliable software delivery while collaborative efforts tackle technical challenges and optimize system performance. This role requires a strong understanding of Infrastructure as Code (IaC) principles, leveraging tools like Terraform for efficient and consistent infrastructure management.

This position demands:

  • Minimum 7 years of experience
  • Leadership in DevOps Development
  • Expertise in CI/CD Management
  • Strong Understanding of Infrastructure as Code (IaC)

This position is open for both onsite and remote work options.

Job Description (Senior Data Engineer)

As a Senior Data Engineer, your primary role entails designing, developing, and maintaining our data infrastructure, pipelines, and lakehouse. You'll collaborate closely with stakeholders to craft data solutions aligned with business needs, leveraging cloud-based technologies and addressing data infrastructure issues. Staying abreast of the latest data engineering trends will be essential to continuously enhancing our data infrastructure.

This position demands:

  • Minimum 7 years of experience
  • Advanced Data Warehouse Expertise
  • Git Proficiency and Collaboration Experience
  • This position is open for both onsite and remote work options.
Job Specification

Key Responsibilities:

  • Architect, develop, and maintain scalable and efficient data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.
  • Collaborate with data analysts, BI managers, and stakeholders to understand their data requirements and design data solutions that align with business needs.
  • Utilize cloud-based technologies like AWS to manage and deploy data solutions.
  • Identify and troubleshoot issues related to data pipelines, databases, and other data infrastructure components.
  • Implement timely solutions to ensure data integrity and reliability.
  • Stay updated with the latest trends and advancements in data engineering and related technologies.
  • Evaluate potential applications of new technologies to enhance our data infrastructure.
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