Motion Recruitment Partners LLC
Azure Data Engineer
Motion Recruitment Partners LLC, Carol Stream, Illinois, United States, 60158
Were searching for a
Data Engineer with deep Azure expertise
to help power a growing enterprises digital transformation. Youll work with modern Azure tools Data Factory, Synapse, Databricks, Data Lake, and Azure SQL to build large-scale, cloud-native data pipelines and infrastructure. This is a full-time opportunity to design the architecture that supports everything from business intelligence to
advanced AI and RAG-based applications . This role is about more than just building data pipelinesits about solving hard problems at scale and working at the
intersection of data, AI, and business strategy . Youll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If youre excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiativesthis is your kind of challenge. Required Skills & Experience
35 years of professional data engineering experience Proven hands-on work with
Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL Strong SQL, Python, and/or Spark skills Experience building and managing robust ETL/ELT pipelines Familiarity with
Azure RBAC , encryption, and regulatory frameworks like
GDPR or HIPAA Experience with
CI/CD , version control (Git), and tools like
Azure DevOps Strong data modeling, transformation, and performance optimization skills Desired Skills & Experience
Experience with real-time streaming (e.g., Event Hubs, Kafka, IoT Hub) Exposure to
Azure ML, OpenAI , or other AI/ML frameworks Background in BI tools like
Power BI
or
Tableau Familiarity with
data governance , metadata management, and quality assurance Bonus points for experience in manufacturing or service industries What You Will Be Doing
Tech Breakdown 60% -Azure Data Factory, Synapse, Databricks, Data Lake, Azure SQL 20% -Azure DevOps, Git, Terraform, CI/CD pipelines 20% -BI and AI enablement, including integration with RAG and Azure ML Daily Responsibilities 60% -Data pipeline development and cloud architecture 20% -Performance tuning, data governance, and security 20% -Collaboration with data scientists, DevOps, and business stakeholders
#J-18808-Ljbffr
Data Engineer with deep Azure expertise
to help power a growing enterprises digital transformation. Youll work with modern Azure tools Data Factory, Synapse, Databricks, Data Lake, and Azure SQL to build large-scale, cloud-native data pipelines and infrastructure. This is a full-time opportunity to design the architecture that supports everything from business intelligence to
advanced AI and RAG-based applications . This role is about more than just building data pipelinesits about solving hard problems at scale and working at the
intersection of data, AI, and business strategy . Youll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If youre excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiativesthis is your kind of challenge. Required Skills & Experience
35 years of professional data engineering experience Proven hands-on work with
Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL Strong SQL, Python, and/or Spark skills Experience building and managing robust ETL/ELT pipelines Familiarity with
Azure RBAC , encryption, and regulatory frameworks like
GDPR or HIPAA Experience with
CI/CD , version control (Git), and tools like
Azure DevOps Strong data modeling, transformation, and performance optimization skills Desired Skills & Experience
Experience with real-time streaming (e.g., Event Hubs, Kafka, IoT Hub) Exposure to
Azure ML, OpenAI , or other AI/ML frameworks Background in BI tools like
Power BI
or
Tableau Familiarity with
data governance , metadata management, and quality assurance Bonus points for experience in manufacturing or service industries What You Will Be Doing
Tech Breakdown 60% -Azure Data Factory, Synapse, Databricks, Data Lake, Azure SQL 20% -Azure DevOps, Git, Terraform, CI/CD pipelines 20% -BI and AI enablement, including integration with RAG and Azure ML Daily Responsibilities 60% -Data pipeline development and cloud architecture 20% -Performance tuning, data governance, and security 20% -Collaboration with data scientists, DevOps, and business stakeholders
#J-18808-Ljbffr