Data Engineer - I
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - I with a contract length of 3 to 6 months, offering a competitive pay rate. Key skills required include Azure Data Factory, Power BI, ETL processes, and experience in Agile methodologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dublin, CA
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🧠 - Skills detailed
#Azure Analysis Services #Version Control #Code Reviews #Azure Data Factory #Data Engineering #Microsoft Power BI #SQL Queries #Azure #SQL (Structured Query Language) #PySpark #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Scrum #BI (Business Intelligence) #Data Ingestion #ADF (Azure Data Factory) #Azure Databricks #Data Processing #Deployment #Databricks #GIT #ML (Machine Learning) #Microsoft Azure #Agile #Data Modeling #Scala #Security #Data Warehouse
Role description
Professional Summary
Senior Data Engineer and BI Developer with over 6 years of experience specializing in designing, developing, and deploying end-to-end data analytics solutions on the Microsoft Azure platform. Proven expertise in building high-performance Power BI reports, robust data models with Azure Analysis Services, and scalable ETL pipelines using Azure Data Factory and Databricks. A collaborative Agile team player dedicated to transforming complex business requirements into simple, reliable, and high-impact business intelligence systems.
Professional Experience & Key Accomplishments
Azure Data Engineering & ETL Development
• Designed, developed, and supported complex ETL/ELT processes in Azure Data Factory (ADF) to orchestrate and automate data ingestion and transformation from diverse sources into the data warehouse.
• Engineered and optimized high-performance PySpark and SQL queries within Azure Databricks for large-scale data processing, analytics, and machine learning workloads, ensuring efficiency and reliability.
• Developed, deployed, and managed sophisticated SQL stored procedures and scripts, deploying them as executable jobs within ADF pipelines.
Business Intelligence & Data Modeling
• Architected, developed, and deployed interactive, visually compelling Power BI reports and dashboards(3-4 years) that provided critical insights to stakeholders, driving data-informed decision-making across the organization.
• Built, enhanced, and managed semantic data models using Azure Analysis Services (AAS), ensuring optimal performance, security, and scalability for enterprise-level reporting.
• Provided ongoing production support, performance tuning, and defect resolution for the entire BI stack, including Power BI reports and AAS models.
Collaboration & Methodology
• Collaborated effectively with cross-functional teams of business stakeholders, product managers, and technical members in an Agile/Scrum environment to deliver high-value solutions iteratively.
• Championed best practices in software development, including version control with Git, code reviews, and CI/CD principles to ensure code quality and streamlined deployments.
• Actively participated in all Agile ceremonies, providing detailed updates and leading demonstrations of new features and functionalities to stakeholders
Skills: data,agile,power bi,azure,analytics,etl
Professional Summary
Senior Data Engineer and BI Developer with over 6 years of experience specializing in designing, developing, and deploying end-to-end data analytics solutions on the Microsoft Azure platform. Proven expertise in building high-performance Power BI reports, robust data models with Azure Analysis Services, and scalable ETL pipelines using Azure Data Factory and Databricks. A collaborative Agile team player dedicated to transforming complex business requirements into simple, reliable, and high-impact business intelligence systems.
Professional Experience & Key Accomplishments
Azure Data Engineering & ETL Development
• Designed, developed, and supported complex ETL/ELT processes in Azure Data Factory (ADF) to orchestrate and automate data ingestion and transformation from diverse sources into the data warehouse.
• Engineered and optimized high-performance PySpark and SQL queries within Azure Databricks for large-scale data processing, analytics, and machine learning workloads, ensuring efficiency and reliability.
• Developed, deployed, and managed sophisticated SQL stored procedures and scripts, deploying them as executable jobs within ADF pipelines.
Business Intelligence & Data Modeling
• Architected, developed, and deployed interactive, visually compelling Power BI reports and dashboards(3-4 years) that provided critical insights to stakeholders, driving data-informed decision-making across the organization.
• Built, enhanced, and managed semantic data models using Azure Analysis Services (AAS), ensuring optimal performance, security, and scalability for enterprise-level reporting.
• Provided ongoing production support, performance tuning, and defect resolution for the entire BI stack, including Power BI reports and AAS models.
Collaboration & Methodology
• Collaborated effectively with cross-functional teams of business stakeholders, product managers, and technical members in an Agile/Scrum environment to deliver high-value solutions iteratively.
• Championed best practices in software development, including version control with Git, code reviews, and CI/CD principles to ensure code quality and streamlined deployments.
• Actively participated in all Agile ceremonies, providing detailed updates and leading demonstrations of new features and functionalities to stakeholders
Skills: data,agile,power bi,azure,analytics,etl
