Senior Data Engineer: Databricks & ADF Pipelines

Artifintech; Atlanta (GA); On-site; USD 90,000 - 150,000; Full time

Job summary

Artifintech in Atlanta is seeking a Data Engineer to design, build, and optimize data pipelines using Databricks and Azure Data Factory. You will implement ETL/ELT processes, write efficient SQL, and collaborate with teams to ensure data quality across data lakes and warehouses.

The role requires hands-on experience with PySpark or Python, a solid understanding of Azure cloud services, and the ability to transform large datasets for analytics and reporting in a fast-paced environment.

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

Databricks

Azure Data Factory

ETL/ELT concepts

SQL

Python

PySpark

Azure cloud services

Data lake concepts

Job description

Artifintech in Atlanta is seeking a Data Engineer to design, build, and optimize data pipelines using Databricks and Azure Data Factory. You will implement ETL/ELT processes, write efficient SQL, and collaborate with teams to ensure data quality across data lakes and warehouses.

The role requires hands-on experience with PySpark or Python, a solid understanding of Azure cloud services, and the ability to transform large datasets for analytics and reporting in a fast-paced environment.