Nisum · 1 day ago
Data Engineer Azure Data Platforms & Data Modeling
Nisum is a company focused on data solutions, and they are seeking a Data Engineer to design and maintain scalable data pipelines across Azure cloud platforms. The role involves building ETL workflows, developing data models, and supporting AI/ML initiatives while ensuring data governance and compliance.
Consulting
Responsibilities
Design, develop, and maintain scalable, high-performance data pipelines across Azure cloud platforms
Build and orchestrate ETL/ELT workflows using Azure Data Factory (ADF)
Develop enterprise-grade data models (dimensional, relational, lakehouse) to support analytics and reporting needs
Implement and optimize data processing solutions using Azure Databricks and distributed computing frameworks
Support AI/ML initiatives by enabling curated datasets and workflow integration using Azure Machine Learning pipelines
Collaborate with data scientists, analysts, architects, and business stakeholders to deliver trusted data products
Ensure best practices in data governance, security, quality, and compliance across platforms
Monitor and optimize pipeline reliability, performance, and cost efficiency in production environments
Contribute to CI/CD automation and operational excellence for enterprise data workflows
Qualification
Required
Design, develop, and maintain scalable, high-performance data pipelines across Azure cloud platforms
Build and orchestrate ETL/ELT workflows using Azure Data Factory (ADF)
Develop enterprise-grade data models (dimensional, relational, lakehouse) to support analytics and reporting needs
Implement and optimize data processing solutions using Azure Databricks and distributed computing frameworks
Support AI/ML initiatives by enabling curated datasets and workflow integration using Azure Machine Learning pipelines
Collaborate with data scientists, analysts, architects, and business stakeholders to deliver trusted data products
Ensure best practices in data governance, security, quality, and compliance across platforms
Monitor and optimize pipeline reliability, performance, and cost efficiency in production environments
Contribute to CI/CD automation and operational excellence for enterprise data workflows
Strong data modeling mindset (enterprise, analytics, and lakehouse architectures)
Ownership of end-to-end data architecture and delivery
Ability to work cross-functionally with technical and business teams
Clear communication and stakeholder alignment
Strong decision-making in platform and architecture design
Enterprise focus on reliability, security, and scalability
8–10 years of experience in Data Engineering, Data Platform Engineering, or related roles
Strong experience building cloud-scale data solutions in the Microsoft Azure ecosystem
Hands-on expertise with Azure Data Factory for orchestration and automation
Experience with Azure Databricks for large-scale data transformation and processing
Strong proficiency in SQL and Python for data engineering workflows
Experience working with Azure Data Lake Storage (ADLS) and modern lakehouse architectures
Familiarity with Azure Machine Learning pipelines and supporting feature/data workflows for ML teams
Strong understanding of data governance, lineage, and quality frameworks
Experience with Delta Lake and modern lakehouse design
Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure-as-Code
Experience working in large-scale enterprise environments with complex data integration needs
Knowledge of Azure security best practices (RBAC, Key Vault, encryption)
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (required)
Preferred
Master's degree is a plus
Company
Nisum
Nisum is a leading technology consulting partner based in Silicon Valley that designs and builds custom digital commerce platforms.
H1B Sponsorship
Nisum has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (107)
2024 (102)
2023 (162)
2022 (129)
2021 (112)
2020 (279)
Funding
Current Stage
Late StageRecent News
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