Seeking a Senior Data Engineer with 5-8 years of experience in Software Development, specializing in advanced SQL for complex queries, performance optimization, and data manipulation. This role demands a solid grasp of data architecture and modeling to design and implement effective data flows for diverse analytics needs.

Familiarity with ETL processes is crucial, highlighting the ability to build and maintain robust data pipelines that ensure accurate and accessible data for analytics and reporting. The candidate should be adept at utilizing various ETL tools and frameworks to integrate data from multiple sources, thereby enhancing the efficiency of data operations.

- Design and implement scalable data pipelines. - Optimize SQL queries for performance and efficiency. - Develop and maintain ETL processes for data integration. - Collaborate with cross-functional teams on data solutions. - Ensure data accuracy, integrity, and availability for analytics.

- 5-8 years of experience in Data Engineering and Software Development. - Proficient in writing complex SQL queries, optimizing performance, and data manipulation. - Strong understanding of data architecture and data modeling principles. - Experience with ETL processes and tools is essential. - Familiarity with version control systems like Git is beneficial. - A Master of Technology (M.Tech) in Data Science/Engineering or a Bachelor of Technology (B.Tech) in Computer Science/IT is required. - Certifications such as CDP or AWS Certified Data Analytics – Specialty are preferred.