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Job Description
Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.
We are seeking a skilled Data Engineer to join our team and contribute to data-driven initiatives using a modern Microsoft data stack. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and business decision-making through Azure Data Factory, Microsoft Fabric, Power BI, SQL, and Python.
Role & Responsibilities:
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, SQL, and Python.
- Build and optimize ETL/ELT processes across Microsoft-based cloud data platforms.
- Work with Microsoft Fabric to support modern analytics and data engineering workflows.
- Develop and maintain data models and transformation logic to support reporting and analytics needs.
- Collaborate with analysts, business stakeholders, and technical teams to translate business requirements into technical solutions.
- Support Power BI reporting needs by enabling clean, reliable, and well-structured datasets.
- Ensure data quality, consistency, and performance across ingestion, transformation, and reporting layers.
- Monitor and optimize workflows for reliability, scalability, and maintainability.
- Contribute to CI/CD, deployment, and operational best practices within the Microsoft ecosystem.
- Support data governance, documentation, and process improvement efforts.
We are seeking a skilled Data Engineer to join our team and contribute to data-driven initiatives using a modern Microsoft data stack. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and business decision-making through Azure Data Factory, Microsoft Fabric, Power BI, SQL, and Python.
Role & Responsibilities:
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, SQL, and Python.
- Build and optimize ETL/ELT processes across Microsoft-based cloud data platforms.
- Work with Microsoft Fabric to support modern analytics and data engineering workflows.
- Develop and maintain data models and transformation logic to support reporting and analytics needs.
- Collaborate with analysts, business stakeholders, and technical teams to translate business requirements into technical solutions.
- Support Power BI reporting needs by enabling clean, reliable, and well-structured datasets.
- Ensure data quality, consistency, and performance across ingestion, transformation, and reporting layers.
- Monitor and optimize workflows for reliability, scalability, and maintainability.
- Contribute to CI/CD, deployment, and operational best practices within the Microsoft ecosystem.
- Support data governance, documentation, and process improvement efforts.
Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.