Data Engineer – Databricks & ADF

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

Job summary

Cloud Analytics Technologies, LLC is seeking a Data Engineer to design and optimize data pipelines using Databricks and Azure Data Factory (ADF). The role involves SQL-based data transformation, PySpark/Python processing, and integrating data from multiple sources into data lakes or data warehouses.

You will monitor pipelines, troubleshoot issues, and collaborate with teams to ensure data quality and reliability in Azure cloud environments. Experience with ETL/ELT concepts is essential.

Qualifications

• 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.

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

ETL/ELT concepts

SQL

Python

PySpark

Databricks

ADF / Azure Data Factory

Azure cloud services

Data lake concepts

Tools

Databricks

Azure Data Factory

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.