Junior Data Engineer

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