Job Description

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

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