Junior Data Engineer: Azure Spark Pipelines & ETL

Fabric; United States; Remote; USD 65,000 - 95,000; Full time

Job summary

Aays Analytics is seeking a Junior Data Engineer to join our growing Data Engineering team. The role requires 2-4 years of hands-on experience with Azure, Databricks, Python, Spark, and SQL to build scalable data pipelines and analytics solutions.

You will collaborate with senior engineers, data architects, and client stakeholders, developing ETL/ELT workflows, and contributing to dashboards using Power BI or Tableau.

Qualifications

• 2-4 years of experience in Data Engineering.
• Hands-on experience with Azure Databricks, Azure Data Factory, and Apache Spark (PySpark).
• Strong understanding of ETL processes and cloud-based data platforms.
• Experience with Power BI or Tableau is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure and Databricks.
• Build ETL/ELT workflows using Azure Data Factory and PySpark.
• Process and transform large datasets using Apache Spark.
• Develop and optimize SQL queries for data extraction and transformation.
• Work with Azure Data Lake and Azure Synapse Analytics to build modern data platforms.
• Perform data integration, transformation, and data modeling activities.
• Collaborate with Data Analysts, Data Scientists, and Product teams to support analytics initiatives.
• Assist in developing dashboards and reporting solutions using Power BI or Tableau.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Maintain technical documentation and follow engineering best practices.

Skills

Python

SQL

Apache Spark (PySpark)

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake

Azure Synapse Analytics

Job description

Aays Analytics is seeking a Junior Data Engineer to join our growing Data Engineering team. The role requires 2-4 years of hands-on experience with Azure, Databricks, Python, Spark, and SQL to build scalable data pipelines and analytics solutions.

You will collaborate with senior engineers, data architects, and client stakeholders, developing ETL/ELT workflows, and contributing to dashboards using Power BI or Tableau.