Data Engineer – Databricks & ADF

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 110,000 - 150,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Data Engineer in Atlanta to develop and maintain scalable data pipelines using Databricks and Azure Data Factory. You will optimize ETL processes, write efficient SQL, and leverage PySpark/Python for large-scale data tasks, ensuring data quality across warehouses and lakes.

You will collaborate with cross-functional teams to deliver reliable data assets and support analytics initiatives in a Microsoft Azure environment.

Qualifications

• Experience with Databricks and Azure Data Factory.
• Strong ETL/ELT concepts understanding.
• Proficient in SQL and data transformations.
• Basic experience with Python or PySpark.
• Familiarity with Azure cloud services and data lake concepts.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
• Work with Databricks for data processing and transformation.
• Write and optimize SQL queries for data extraction and transformation.
• Work with PySpark or Python for large-scale data processing.
• Integrate data from multiple sources into data warehouses or data lakes.
• Monitor, troubleshoot, and optimize data pipelines.
• Collaborate with teams to ensure data quality and reliability.

Skills

Databricks

Azure Data Factory

SQL

Python

PySpark

Job description

We are looking for a Data Engineer with experience in Databricks and Azure Data Factory (ADF) to develop, maintain, and optimize data pipelines and ETL processes.

Responsibilities:

• Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
• Work with Databricks for data processing and transformation.
• Write and optimize SQL queries for data extraction and transformation.
• Work with PySpark or Python for large-scale data processing.
• Integrate data from multiple sources into data warehouses or data lakes.
• Monitor, troubleshoot, and optimize data pipelines.
• Collaborate with teams to ensure data quality and reliability.

Required Skills:

• Experience with Databricks and Azure Data Factory (ADF).
• Strong understanding of ETL/ELT concepts.
• Good knowledge of SQL and data transformations.
• Basic experience with Python or PySpark.
• Understanding of Azure cloud services and data lake concepts.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.