Senior Data Engineer

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