Azure Data Engineer

Cloud Analytics Technologies, LLC; Atlanta (GA); In loco; USD 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

Cloud Analytics Technologies, LLC is seeking an experienced Azure Data Engineer to design, build, and maintain enterprise data pipelines. You will work with large cloud datasets and leverage Azure Data Factory, Azure Databricks, and Azure Data Lake to enable BI and analytics initiatives.

You will optimize SQL workflows, implement data quality checks, and collaborate with analytics teams to deliver reliable data solutions across the organization.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Azure data engineering

Python

SQL

Cloud data architecture

Strumenti

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

PySpark

Descrizione del lavoro

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.

• 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.

• 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.