Azure Data Engineer

Quantum Technologies. LLC; Austin (TX); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Quantum Technologies. LLC in Austin seeks a data engineer to design and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse.

Strong Python and SQL skills are required, with hands-on experience in ADLS Gen2 and data warehousing concepts. You will implement data quality checks, governance, and CI/CD pipelines with Azure DevOps, and collaborate with data teams to deliver reliable data products.

Qualifikationen

• Experience with Azure cloud data services and data integration patterns.
• Strong SQL and Python (PySpark) development for large-scale data processing.
• Experience building ETL/ELT pipelines in Azure Databricks, Synapse, and Data Factory.
• Knowledge of data governance, quality, and security best practices.

Aufgaben

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory.
• Build and optimize data processing solutions with Azure Databricks and PySpark.
• Develop data transformation workflows with Python and SQL.
• Ingest data from databases, APIs, files, and cloud sources into ADLS Gen2 and Synapse.
• Collaborate with data architects, analysts, and stakeholders to deliver reliable data products.

Kenntnisse

Azure Data Factory

Azure Databricks

PySpark

Python

SQL

ADLS Gen2

Azure Synapse

Data Warehousing

Data Modeling

CI/CD

Azure DevOps

Data Quality

Data Governance

Delta Lake

ETL/ELT

Tools

Git

Azure DevOps

Jobbeschreibung

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

• Strong experience in Microsoft Azure cloud data services.
• Hands-on experience with Azure Data Factory (ADF).
• Strong experience with Azure Databricks.
• Good programming experience in Python and PySpark.
• Strong SQL skills and query optimization.
• Experience with Azure Synapse Analytics.
• Knowledge of Azure Data Lake Storage Gen2 (ADLS).
• Experience with data warehousing and data modeling concepts.
• Hands-on experience with data integration and transformation.
• Experience with Azure DevOps, Git, and CI/CD pipelines.
• Knowledge of data security, governance, and data quality.
• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory.
• Build and optimize data processing solutions using Azure Databricks and PySpark.
• Develop data transformation workflows using Python and SQL.
• Implement data ingestion from multiple sources, including databases, APIs, files, and cloud platforms.
• Build and maintain data lake and data warehouse solutions using ADLS Gen2 and Azure Synapse.
• Optimize Spark jobs, SQL queries, and data processing performance.
• Implement data validation, data quality checks, and error-handling mechanisms.
• Work with Delta Lake for reliable and scalable data storage.
• Implement CI/CD pipelines and deployment automation using Azure DevOps.
• Ensure data security, governance, and compliance standards.
• Collaborate with data architects, analysts, and business stakeholders.
• Troubleshoot production data pipeline issues and ensure operational stability.

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.