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Full Time Azure Data Factory Developer Jobs in Illinois

Data Engineering & DevelopmentDesign and develop end-to-end data ingestion| transformation| and ... Develop data solutions using Azure Data Factory (ADF)| Azure Databricks| and Snowflake.Create and ...

... Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps. In this capacity, the Senior Data Engineer will: * Design, build and manage scalable data pipelines usingAzure Data Factory (ADF ...

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Enterprise Azure Architect

Chicago, IL · On-site

$65.50 - $85.25/hr

... DevOps, security, and business teams across global locations. • Support proposal development ... Azure Data Factory, Azure Kubernetes Service (AKS). • Proven experience leading large-scale ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

They are seeking a Senior Data Engineer to design and build end-to-end data pipelines and optimize ... Azure Data Factory (pipelines, triggers, monitoring) • Databricks (Delta Lake, workflows ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

... Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses) * Build and optimize data ... Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP ...

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

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Full Time Azure Data Factory Developer information

What does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory Developer, and why are they important?

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What is the difference between Full Time Azure Data Factory Developer vs Data Engineer?

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

What are the most commonly searched types of Azure Data Factory Developer jobs in Illinois? The most popular types of Azure Data Factory Developer jobs in Illinois are:
What are popular job titles related to Full Time Azure Data Factory Developer jobs in Illinois? For Full Time Azure Data Factory Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory Developer jobs in Illinois look for? The top searched job categories for Full Time Azure Data Factory Developer jobs in Illinois are:
What cities in Illinois are hiring for Full Time Azure Data Factory Developer jobs? Cities in Illinois with the most Full Time Azure Data Factory Developer job openings:

Full-time

Posted 17 days ago


Job description

ROLE_DESCRIPTION -
Role Descriptions: Data Engineering & DevelopmentDesign and develop end-to-end data ingestion| transformation| and loading (ETL/ELT) pipelines.Build and maintain enterprise data lakes and data warehouses on Azure.Develop data solutions using Azure Data Factory (ADF)| Azure Databricks| and Snowflake.Create and optimize SQL-based data transformation processes.Support real-time and batch data processing requirements.Cloud & ArchitectureDesign scalable cloud-native data architectures.Evaluate and enhance existing data platforms and technology stacks.Implement secure| high-availability| and disaster recovery compliant solutions.Support data modernization and cloud migration initiatives.Data Governance & QualityEnsure data quality| lineage| metadata management| and governance standards.Partner with Data Governance teams and tools such as Collibra.Implement security| compliance| and regulatory controls across data platforms. DevOps & AutomationAutomate infrastructure provisioning using Terraform.Implement CI/CD pipelines using GitHub| Azure DevOps| or similar tools.Support DataOps and operational monitoring processes.
Essential Skills: Northern Trust is looking for an Azure Data Engineer to design| develop| and maintain enterprise-scale cloud data platforms. The role focuses on building scalable data pipelines| data lakes| data warehouses| and analytics solutions using Microsoft Azure technologies while supporting regulatory| reporting| and business intelligence requirements.
Skills: Digital : Microsoft Azure~Digital : Snowflake~Azure Data Factory
Experience Required: 10 & Above