Data Engineer II
DAT Freight & Analytics (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 13d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, test, and maintain cloud-native ELT data pipelines into Snowflake and S3 Iceberg layers with scalable, modular architecture supporting incremental loads and reprocessing.
- Develop and maintain data transformations using dbt and Python, including automation, monitoring, and anomaly handling to ensure high data quality and pipeline reliability.
- Author, schedule, and monitor workflows using Apache Airflow; implement CI/CD pipelines with Git and GitHub Actions for automated testing, deployment, and version control integration.
Minimum Requirements
- 3-5 years of professional experience in Data Engineering or related technical roles including internships.
- Bachelor's degree in Computer Science, IT, Engineering, or related quantitative field.
- Proficiency in Python, experience with Snowflake data warehouse, and familiarity with dbt and Apache Airflow.
- Experience with Git version control and CI/CD pipelines, preferably GitHub Actions; comfort using AI-assisted coding tools in engineering workflows.
Ideal Candidate Profile
- Practitioner comfortable with cloud-native ELT pipeline development and automation using modern data stack technologies (Snowflake, dbt, Airflow).
- Experience applying CI/CD best practices and automation for testing and deployment in data engineering contexts.
- Open to leveraging AI tools for development and documentation to enhance productivity and maintain modern engineering workflows.