Job Description
Junior Data Engineer
Must Have Technical/Functional Skills
Snowflake, DBT
Roles & Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data
- Design, develop, and maintain data pipelines using Snowflake and dbt
- Build efficient and scalable data models (star/snowflake schemas) using dbt
- Develop and optimize SQL queries for high-performance data transformation
- Implement ELT workflows leveraging Snowflake architecture
- Collaborate with analysts and business stakeholders to translate requirements into data solutions
- Schedule and monitor jobs using tools like Control-M
- Perform data validation, testing, and ensure high data quality
- Troubleshoot pipeline failures and performance bottlenecks
- Work with semi-structured data (JSON, Parquet) in Snowflake
- Maintain documentation for data pipelines and models
- Working knowledge of Python for data processing and scripting
- Experience with UNIX/Linux commands and shell scripting
- Familiarity with Control-M or any job scheduling/orchestration tools
- Basic understanding of data pipeline orchestration and monitoring