Data Engineer - A U
Cigres Technologies Private Limited (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 1d ago
Reach people at Cigres Technologies Private Limited
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Cigres Technologies Private Limited you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data pipelines and transformation workflows using DBT, AWS Glue, Apache Spark, and Python.
- Implement and manage Lakehouse architecture leveraging Apache Iceberg and Amazon Redshift to support analytics and reporting.
- Orchestrate and monitor data workflows via Apache Airflow ensuring data quality, reliability, and deployment using CI/CD and GitHub best practices.
Minimum Requirements
- 5 years of professional experience in data engineering or related field.
- Hands-on experience with DBT, AWS Glue, Apache Spark/PySpark, basic Python, SQL, and Redshift.
- Experience with Apache Airflow for workflow orchestration and managing CI/CD pipelines with GitHub.
- Not explicitly mentioned in the JD: educational degree requirements, notice period, or specific location constraints beyond Bangalore.
Ideal Candidate Profile
- Proven expertise in building and optimizing scalable AWS-based data solutions including Lakehouse architectures.
- Strong operational focus on SQL query tuning, data modeling, and performance optimization for large-scale data platforms.
- Experience working collaboratively with cross-functional business and technical teams to deliver high-quality data products.