Azure Data Engineer

Valiant Technologies LLC; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced Azure Data Engineer to design and maintain enterprise data pipelines in a cloud-first environment. You will work with large datasets and Azure services to support BI and analytics initiatives.

Responsibilities include building ETL/ELT processes with Azure Data Factory, using Azure Databricks and PySpark, and optimizing SQL queries. Strong Python/SQL skills and data warehousing concepts are essential.

Qualifications

• Proficient in designing and implementing data pipelines for enterprise-scale environments.
• Strong understanding of ETL/ELT concepts and data warehousing principles.
• Experience with cloud data architectures and Azure-based 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 business intelligence teams.

Skills

Python

SQL

ETL/ELT concepts

Cloud data architecture

Data pipelines design

Tools

Azure Data Factory

Azure Databricks

PySpark

Azure Data Lake Storage

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.