We are seeking a Senior Data Engineering professional with 5-8 years of extensive experience in software development and data engineering.

This role demands advanced SQL capabilities for complex query writing, performance optimization, and efficient data manipulation. A solid grasp of data architecture and modeling is crucial for designing robust data flows tailored for diverse analytics needs.

Proficiency in ETL processes is a key requirement, enabling the development and maintenance of data pipelines that ensure data integrity and accessibility for reporting and analytics. Familiarity with various ETL tools and frameworks is expected, along with the ability to integrate data from multiple sources.

Design, develop, and maintain scalable data pipelines and ETL processes.

Optimize SQL queries for performance and efficiency in large datasets.

Implement data models and architectures to support analytics and reporting requirements.

Integrate data from various sources, ensuring data accuracy and availability.

Collaborate with cross-functional teams to understand data needs and deliver solutions.

Minimum 5 years of experience in Data Engineering and Software Development.

Advanced proficiency in SQL, including complex query writing and performance tuning.

Strong understanding of data architecture, data modeling, and ETL processes.

Experience with ETL tools and frameworks.

Master of Technology (M.Tech) in Data Science/Engineering or Bachelor of Technology (B.Tech) in Computer Science/Information Technology.

Preferred certifications: Certified Data Professional (CDP), AWS Certified Data Analytics – Specialty.

Familiarity with version control systems like Git is advantageous.