Azure Data Engineer

Ethereum Technologies; Atlanta (GA); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Ethereum Technologies is seeking an experienced Azure Data Engineer to design and maintain enterprise data pipelines supporting BI and analytics initiatives in a cloud environment.

You will work with Azure Data Factory, Databricks, and Data Lake to optimize data workflows and ensure data quality across large datasets. Strong Python and SQL skills are required to implement robust data models and pipelines.

Qualifikationen

• Strong experience with ETL/ELT design and data warehousing concepts.
• Proficient in Python and SQL for data processing.
• Knowledge of cloud data architectures and best practices.

Aufgaben

• 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.

Kenntnisse

Python

SQL

ETL & data warehousing

Cloud data architecture

Tools

Azure Data Factory

Azure Databricks

PySpark

Azure Data Lake Storage

Jobbeschreibung

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.