This is a fully remote position, open to applicants in United States.

• Design and develop efficient data pipelines utilizing Azure Fabric, Data Factory, Databricks, and Synapse Analytics.

• Create ETL/ELT processes to ingest, transform, and load substantial amounts of data.

• Build and maintain data models, Lakehouse architecture, and data warehousing solutions.

• Collaborate with business analysts and stakeholders to comprehend data requirements.

• Monitor and enhance data workflows for both performance and cost efficiency.

• Ensure data quality, security, and adherence to governance standards.

• Automate procedures for data validation and testing.

• Develop dashboards in Power BI as necessary.

• Normalize and cleanse data effectively.

• Migrate data from small business ERP systems to the NetSuite ERP platform.

• Facilitate data-driven decision-making through dependable data pipelines, standardized data, and optimized cloud data infrastructure.

• Strong expertise in Azure data services: Fabric, Data Factory, Databricks, Synapse, Logic Apps, Azure SQL, etc.

• Proficient in Python, SQL, Spark, or Scala.

• Experience with Workflow Definition Language (WDL).

• Familiarity with Celigo.

• Comprehensive understanding of cloud architecture and data lake principles.

• Knowledge of CI/CD tools and DevOps practices within Azure.

• Practical knowledge of data governance, privacy, and security standards.

• Microsoft Certified Azure Data Engineer Associate certification.

• Understanding of general data within ERP systems.

• Experience with Power BI and Power Apps.

• Familiarity with machine learning workflows and integration.

• Bachelor's degree in Computer Science, Engineering, or a related field.

• Experience with alternative platforms such as AWS data fabric (Redshift, Glue, Athena) or Databricks will also be taken into account.

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and career growth.

• Flexible working hours and remote work options.

• Supportive and inclusive work environment.

Azure Data Engineer

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