Data Engineer
GrowExx (company site, opens in a new tab)3–4 yrsOn-siteDirect career pageEst. 8–14 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT pipelines and data models using Python, SQL, Apache Airflow, and Snowflake.
- Build and orchestrate production-scale Airflow DAGs for batch and incremental data processing from multiple sources.
- Optimize query performance and manage workloads on Snowflake and AWS ensuring data quality, reliability, and cost efficiency.
Minimum Requirements
- 3-4 years of hands-on experience in Data Engineering.
- Bachelor’s degree in Computer Science, IT, Engineering, or related field.
- Proficiency in SQL, Python, Apache Airflow, Snowflake, and AWS.
- Work Experience Required: 3-4 years of hands-on Data Engineering experience.
Ideal Candidate Profile
- Experienced in developing and maintaining ETL/ELT pipelines using Airflow and Snowflake in production environments.
- Skilled in optimizing data warehouse performance and cost management on cloud platforms like AWS.
- Capable of collaborating effectively with Data Analysts, Data Scientists, and business stakeholders to deliver and document reliable data solutions.