Senior Data Engineer - M M
Cigres Technologies Private Limited (company site, opens in a new tab)7–10 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines using DBT, Apache Airflow, and Cosmos.
- Build and optimize complex SQL transformations and robust data models for large-scale datasets.
- Collaborate with analysts and BI teams to deliver data solutions while ensuring data quality, governance, and documentation.
Minimum Requirements
- 7–10 years of experience in data engineering or analytics engineering roles.
- Strong hands-on experience with DBT including modeling, testing, and documentation.
- Expertise in advanced SQL with performance tuning and Apache Airflow orchestration.
- Experience with AWS services, especially Redshift and S3; Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Ideal Candidate Profile
- Experienced in designing and optimizing large-scale data pipelines and workflow orchestration at senior level.
- Strong knowledge of data warehousing concepts and dimensional modeling with a focus on analytics engineering best practices.
- Familiar with Agile/Scrum environments and CI/CD workflows using GitHub, able to mentor junior engineers and contribute to engineering standards.