Role Overview
We are looking for a Junior Data Engineer to support the design, development, and maintenance of data pipelines and data platforms. The role requires foundational experience in Azure-based data services and a basic understanding of modern data engineering practices. Exposure to Databricks is preferred.
Key Responsibilities
- Assist in building and maintaining data pipelines using Azure data services
- Support data ingestion, transformation, and integration from multiple sources
- Work with structured and unstructured datasets to enable analytics and reporting
- Collaborate with senior engineers and analysts to understand data requirements
- Ensure data quality, consistency, and reliability across pipelines
- Participate in debugging, monitoring, and optimizing data workflows
- Document data processes, pipelines, and workflows
Required Skills & Qualifications
- 1–3 years of experience in data engineering or related roles
- Basic hands-on experience with Azure data services such as Azure Data Factory, Azure Data Lake, or Azure SQL
- Strong SQL skills and understanding of relational databases
- Familiarity with Python or similar programming language
- Understanding of ETL/ELT processes and data pipeline concepts
- Knowledge of data warehousing fundamentals
Preferred Qualifications
- Exposure to Databricks or Apache Spark
- Understanding of cloud-based data architectures
- Familiarity with version control tools such as Git
- Basic understanding of data modeling concepts
Job Type: Full-time
Work Location: In person