Azure Data Engineer

Veriipro; Bellevue (WA); On-site; USD 110,000 - 160,000; Full time

Job summary

Veriipro seeks an experienced Azure Data Engineer to build scalable ingestion pipelines and deliver reliable datasets for analytics. You will transform data using Python, PySpark, and SQL, standardize partner data, and implement quality checks across systems.

You will collaborate with analysts and stakeholders, manage data pipelines, and work with Azure Cosmos DB and related services to support BI reporting and AI-enabled solutions.

Qualifications

• 4–6 years of experience in data engineering and data pipeline development.
• Hands-on experience with Microsoft Azure data services.
• Experience with Azure Databricks, PySpark, and Python for large-scale processing.
• Proficiency in SQL/PLSQL for data transformation and validation.
• Knowledge of Microsoft Fabric and Power BI for analytics integration.
• Familiarity with ETL/ELT, data modeling, governance, and quality checks.

Responsibilities

• Design, develop, and maintain scalable data ingestion pipelines using Azure and Databricks.
• Transform, cleanse, validate, and normalize data with Python, PySpark, and SQL.
• Ingest and standardize internal and partner data with accurate mapping.
• Implement data quality checks, reconciliation, and validation rules.
• Monitor pipelines, troubleshoot failures, and perform root-cause analysis.
• Manage data refresh schedules, orchestration, and operational monitoring.
• Support onboarding of new data feeds and enterprise integrations.
• Develop standardized data models for analytics, reporting, and BI needs.
• Collaborate with analysts and stakeholders to understand data requirements.
• Explore Foundry capabilities to support AI-enabled data solutions when required.
• Ensure data governance, security, compliance, lineage, and auditability.

Skills

Azure Data Services

Azure Databricks

PySpark

Python

SQL/PLSQL

Power BI

ETL/ELT

Data Modeling

Tools

Azure Databricks

Python

Power BI

SQL

PL/SQL

Microsoft Fabric

Azure Cosmos DB

NoSQL

Microsoft Foundry

Job description

We are seeking an experienced Azure Data Engineer with strong expertise in Microsoft Azure, Azure Databricks, Microsoft Fabric, Python, PySpark, PL/SQL, and Power BI. The candidate will be responsible for building scalable data ingestion pipelines, transforming and standardizing data, ensuring data quality, and supporting analytics and reporting solutions across multiple data sources.

Key Responsibilities

• Design, develop, and maintain scalable data ingestion pipelines using Microsoft Azure and Azure Databricks.
• Perform data transformation, cleansing, validation, and schema normalization using Python, PySpark, and SQL.
• Ingest and standardize internal and external partner data, ensuring accurate SKU, partner, and channel mapping.
• Implement data quality checks, reconciliation processes, and validation rules across datasets.
• Monitor data pipelines, troubleshoot failures, and perform exception handling and root cause analysis.
• Manage data refresh schedules, pipeline orchestration, and operational monitoring workflows.
• Support onboarding of new data feeds and integrations across enterprise systems.
• Develop standardized data models to support analytics, reporting, and business intelligence requirements.
• Work with Microsoft Fabric and Power BI to support data analytics and reporting solutions.
• Utilize Azure Cosmos DB and related data services where applicable.
• Implement data governance, security, compliance, data lineage, auditability, and traceability standards.
• Support inventory data pipelines and deliver reliable, high-quality datasets for business reporting.
• Collaborate with data analysts, business stakeholders, and cross-functional teams to understand data requirements.
• Explore Microsoft Foundry capabilities to support AI-enabled data solutions where required.

Required Skills and Qualifications

• 4–6 years of experience in data engineering, data integration, and data pipeline development.
• Strong hands-on experience with Microsoft Azure data services.
• Experience with Azure Databricks, PySpark, and Python for large-scale data processing.
• Proficiency in SQL and PL/SQL for data transformation, querying, and validation.
• Knowledge of Microsoft Fabric and its data engineering capabilities.
• Experience with Microsoft Power BI for analytics and reporting integration.
• Familiarity with Microsoft Power Platform and workflow automation.
• Experience with Azure Cosmos DB or other NoSQL databases.
• Familiarity with Microsoft Foundry and AI-enabled application development is desirable.
• Strong understanding of ETL/ELT pipelines, data modeling, data quality, and data reconciliation.
• Knowledge of data governance, security, compliance, and data lineage.
• Strong analytical, troubleshooting, communication, and problem-solving skills.