Job Description

Key Responsibilities:

? Data Pipeline Development: Design, develop, and maintain efficient and scalable data

pipelines using Python and Azure tech stack.

? Collaboration: Work closely with data scientists, analysts, and other stakeholders to

understand data requirements and deliver solutions that meet business needs.

? Documentation: Create and maintain comprehensive documentation for data pipelines,

processes, and solutions.

? Troubleshooting: Identify and resolve data-related issues and bottlenecks.

Qualifications:

? Education: Bachelor's or Master's degree in Computer Science, Information

Technology, or equivalent in related field.

? Experience: 6-8 years of experience in data engineering, with a strong focus on Python,

Azure, CI/CD, and deployment.

? Technical Skills:

? Proficiency in Python, Api's for data processing and automation.

? Extensive experience with Azure cloud services (Azure Data Factory, Azure

Databricks, Azure SQL Database, etc.).

? Understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI/CD).

? Understandin with containerization and orchestration tools (e.g., Docker,

Kubernetes).

? Knowledge of SQL and NoSQL databases.

? Familiarity with data warehousing concepts and technologies.

? Soft Skills:

? Excellent problem-solving and analytical skills.

? Strong communication and collaboration abilities.

? Ability to work independently and as part of a team.

? Detail-oriented with a focus on quality and accuracy.

Job Types: Full-time, Permanent

Pay: ?2,500,000.00 - ?2,700,000.00 per year

Benefits:

Work from home
Experience:

Total Work: 4 years (Preferred) Agentic AI: 1 year (Preferred)
Work Location: Remote