Junior Data Engineer

Responsibilities

• Aid in the creation and upkeep of data pipelines in Azure Databricks utilizing SQL and PySpark.
• Ingest data from various sources (SaaS applications, databases, reports) into the Data Lakehouse.
• Create and maintain transformation logic to move data through Medallion Architecture layers.

Requirements

• Bachelor’s or Master’s degree in computer science, Information Systems, Data Engineering, or a related field.
• 1+ years of experience working with data pipelines, analytics platforms, or data engineering tools (internships or academic projects acceptable).
• Strong knowledge of SQL and experience querying large datasets.
• Familiarity with Apache Spark or Databricks and basic experience with Python or PySpark for data transformation.
• Understanding of data warehousing and Lakehouse concepts (Medallion Architecture).
• Experience or exposure to Azure Data Factory or similar orchestration tools.
• Knowledge of Fivetran is a plus.
• Familiarity with Azure cloud services is a plus.
• Exposure to Power BI or other BI tools is beneficial.
• Strong analytical thinking and problem-solving skills.
• Ability to work collaboratively in a team environment and communicate effectively.

Pay

$91,000.00 - $121,333.35 per year.

Schedule

Full-time.