Azure Data Engineer

Artifintech; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Job summary

Artifintech is seeking an experienced Azure Data Engineer to design and maintain enterprise data pipelines, leveraging cloud data platforms to enable BI and analytics. The role focuses on building scalable ETL/ELT solutions with Azure services and working closely with data analytics teams.

You will optimize data workflows, ensure data quality, and contribute to data warehousing initiatives inside a fast-paced cloud environment. Strong Python/SQL skills are essential.

Qualifications

• Design and implement ETL/ELT data pipelines.
• Build data integration with Azure Data Factory.
• Work with Azure Databricks, PySpark, and cloud data lake storage.
• Ensure data quality and validation throughout pipelines.
• Collaborate with analytics and BI teams.

Responsibilities

• Design and develop ETL/ELT data pipelines.
• Build data integration solutions using Azure Data Factory.
• Work with Azure Databricks and Azure Data Lake.
• Optimize data processing workflows and SQL queries.
• Implement data quality and validation processes.
• Collaborate with analytics and business intelligence teams.

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

PySpark

Python

SQL

Job description

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

Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are looking for an experienced Azure Data Engineer to develop and maintain enterprise data pipelines and data processing solutions. The candidate will work with large datasets and cloud-based technologies to support business intelligence and analytics initiatives.

Key Responsibilities:

• Design and develop ETL/ELT data pipelines.
• Build data integration solutions using Azure Data Factory.
• Work with Azure Databricks and Azure Data Lake.
• Optimize data processing workflows and SQL queries.
• Implement data quality and validation processes.
• Collaborate with analytics and business intelligence teams.

Required Skills:

• Strong knowledge of Azure Data Factory.
• Experience with Azure Databricks and PySpark.
• Proficiency in Python and SQL.
• Knowledge of Azure Data Lake Storage.
• Experience with ETL and data warehousing concepts.
• Understanding of cloud data architecture.

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.