Azure Data Engineer

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

Job summary

Valiant Technologies LLC is seeking a data engineer to design, implement, and optimize cloud-based ETL/ELT pipelines using Azure Data Factory, Databricks, and PySpark. The role emphasizes secure data governance, scalable data lakes, and close collaboration with analytics teams.

Candidates should be proficient in Python, SQL, Spark optimization, and CI/CD deployment with Azure DevOps. This position requires US work authorization and a focus on reliability and data quality.

Qualifications

• Experience with cloud-based data platforms and ETL/ELT pipelines.
• Strong understanding of data governance and security practices.

Responsibilities

• 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.

Skills

SQL

Data integration

Data modeling

ETL/ELT principles

Troubleshooting

Collaboration with stakeholders

Tools

Azure Data Factory

Azure Databricks

Python

PySpark

Azure Synapse Analytics

Azure Data Lake Storage Gen2

Delta Lake

Azure DevOps

Git

Job description

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.