Data Engineer - Azure Databricks

Fabric

United States

Remote

USD 65,000 - 95,000

Full time

14 days+

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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

About Company

Aays Analytics is a fast-growing data and analytics consulting company specializing in cloud data engineering, AI, business intelligence, and advanced analytics solutions. We help global enterprises modernize their data platforms using Microsoft Azure and other cloud technologies. Our team works on large-scale data engineering projects, enabling organizations to make data-driven decisions through scalable and reliable data solutions.

Role Overview

We are looking for a Junior Data Engineer with 2-4 years of experience to join our growing Data Engineering team. The ideal candidate should have hands‑on experience with Azure, Databricks, Python, Spark, and SQL, along with a strong understanding of ETL processes and cloud‑based data platforms. You will work closely with senior engineers, data architects, and client stakeholders to build scalable data pipelines and analytics solutions.

Roles & 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.

Preferred Candidate Profile

2-4 years of experience in Data Engineering.
Strong programming skills in Python and SQL.
Hands‑on experience with Azure Databricks, Azure Data Factory, and Apache Spark (PySpark).
Experience working with Azure Data Lake and Azure Synapse Analytics.
Good understanding of ETL/ELT, data warehousing, and data modeling concepts.
Experience working with cloud platforms, preferably Microsoft Azure.
Familiarity with Git, Agile methodologies, and CI/CD practices.
Knowledge of Power BI or Tableau is an added advantage.
Excellent analytical, communication, and problem‑solving skills.
Experience working directly with client stakeholders is preferred.

Must Have Skills