Azure Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 91,000 - 129,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Atlanta, GA is seeking an experienced Azure Data Engineer to design and maintain enterprise data pipelines on Azure. You will work with large datasets and cloud-based services to support BI and analytics initiatives.

The role involves building ETL/ELT pipelines with Azure Data Factory, leveraging Azure Databricks and Data Lake Storage, optimizing SQL queries, and ensuring data quality. Collaboration with analytics teams is essential.

Qualifications

• Proficient in Python and SQL with hands-on data engineering experience.
• Strong knowledge of PySpark and Spark-based processing.
• Experience designing ETL/ELT pipelines in cloud environments.
• Familiar with cloud data architecture and data warehousing concepts.
• Experience with Azure Data Factory and Azure data services.

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 BI teams.

Skills

Python

SQL

PySpark

Cloud data architecture

ETL concepts

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Job description

Job ID: J53893

Job Title: Azure Data Engineer

Location: Atlanta, GA

Duration: 12 Months Contract

Bill Rate: $80/hr

Job Type: W-2, 1099, C2C

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

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.