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Azure Data Fabric Jobs in Indiana (NOW HIRING)

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

... Azure preferred, AWS and GCP experience also valued) * Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift * Familiarity with orchestration and ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

... Azure preferred, AWS and GCP experience also valued) * Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift * Familiarity with orchestration and ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... Azure preferred, AWS and GCP experience also valued) * Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift * Familiarity with orchestration and ...

Demonstrated strong expertise in Apache Spark and modern data platforms such as Microsoft Fabric ... Proven experience working with cloud platforms, ideally Microsoft Azure, along with a solid ...

Experience with cloud data platforms - Azure preferred, AWS experience also valued * Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

Experience with cloud data platforms -- Azure preferred, AWS experience also valued * Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Experience with cloud data platforms - Azure preferred, AWS experience also valued * Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred. * Experience consuming organizational data platforms (lakehouses, warehouses, or similar) as inputs to AI ...

Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred. * Experience consuming organizational data platforms (lakehouses, warehouses, or similar) as inputs to AI ...

... Fabric. * Cloud & data architecture. Comfort working across cloud architecture, data pipelines, and integration concepts; Azure experience a plus. * Customer‑facing communication. Track record of ...

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Showing results 41-55

Azure Data Fabric information

What are some common challenges faced by professionals working with Azure Data Fabric, and how can they be addressed?

Professionals working with Azure Data Fabric often encounter challenges related to integrating diverse data sources, ensuring data security, and optimizing data pipeline performance. Managing data consistency and governance across distributed environments can also be complex. These challenges can be addressed by leveraging Azure's built-in monitoring and security tools, implementing robust data management policies, and staying up-to-date with best practices through continuous learning. Collaboration with cross-functional teams, such as data engineers, architects, and security specialists, is essential for successful project delivery.

What is Azure Data Fabric?

Azure Data Fabric is a set of cloud-based tools and services provided by Microsoft Azure to enable seamless data integration, management, and analytics across various data sources and environments. It helps organizations unify their data infrastructure, making it easier to collect, store, process, and analyze data from on-premises, cloud, and hybrid sources. Azure Data Fabric typically leverages services like Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to create a comprehensive data solution. This approach helps streamline data workflows, improve data governance, and accelerate business insights.

What is Azure Data Fabric used for?

Azure Data Fabric is a data management platform that enables organizations to integrate, govern, and analyze large volumes of data across hybrid and multi-cloud environments. It provides tools for data virtualization, security, and real-time processing, supporting data engineers and analysts in building scalable data solutions. Familiarity with cloud services and data architecture is beneficial for roles involving Azure Data Fabric.

What are the key skills and qualifications needed to thrive as an Azure Data Fabric engineer?

To thrive as an Azure Data Fabric Engineer, you need expertise in data architecture, data integration, and cloud computing, typically with a background in computer science or a related field. Proficiency with Microsoft Azure services (such as Azure Data Factory, Synapse Analytics, and Data Lake), along with relevant certifications like Azure Data Engineer Associate, is crucial. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate across teams and address complex data challenges. These skills ensure secure, scalable, and efficient data solutions that empower organizations to make data-driven decisions.

What is the difference between Azure Data Fabric vs Data Engineer?

AspectAzure Data FabricData Engineer
Primary FocusData integration, management, and platform services on AzureDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsAzure services, data architecture, cloud computingSQL, ETL, programming, data modeling
CertificationsAzure Data Engineer, Azure Solutions ArchitectMicrosoft Certified: Data Engineer Associate
Work EnvironmentCloud platforms, enterprise data solutionsData warehouses, cloud/on-premises environments

Azure Data Fabric focuses on providing a comprehensive data platform on Azure, enabling data integration and management. Data Engineers build and maintain data pipelines and infrastructure within such platforms. While Azure Data Fabric is a cloud service, Data Engineers work across various environments, often utilizing Azure services. Both roles require knowledge of data architecture and cloud tools, but their core responsibilities differ: platform management versus pipeline development.

What cities in Indiana are hiring for Azure Data Fabric jobs? Cities in Indiana with the most Azure Data Fabric job openings:

Data Engineer (in person)

SEP

Westfield, IN

$109K - $131K/yr

Full-time

Re-posted 13 days ago


Job description

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a wide range of industries and technologies, and more and more of these products are powered by data. Our clients want us to apply the same engineering rigor we bring to software development to their data pipelines and data platforms. You'll spend your days building, testing, and shipping data systems that real clients depend on. 
What we have to offer
  • Variety on every axis — tools, technologies, market sectors, methodologies 
  • Flexible, reasonable work schedules 
  • Extensive opportunities to learn and develop yourself 
  • A community of friendly, talented, and effective peers 
  • Opportunities to try out different roles with minimal risk 
  • Gorgeous facilities 
What you'll be doing
  • Build and maintain data pipelines and transformations (batch and streaming) 
  • Implement data models for analytics use cases 
  • Write data quality checks and tests for data pipelines 
  • Configure orchestration and workflow tooling to support delivery 
  • Implement infrastructure as code for data platforms 
  • Investigate and resolve pipeline failures and performance issues 
  • Participate in peer code review and contribute to team documentation 
  • Communicate progress, blockers, and risks to the team and stakeholders 
  • Support client meetings in a technical capacity 
Key attributes for applicants
  • A passion for great products, software development, and learning 
  • Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus 
  • Practical experience in data pipeline development, ideally in both batch and streaming patterns 
  • Understanding of data modeling patterns for analytics (dimensional modeling, normalized data models, lakehouse concepts) 
  • Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience also valued) 
  • Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift 
  • Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) 
  • Experience writing tests and data quality checks for pipelines 
  • Exposure to infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus 
  • Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plus 
  • Applies software engineering best practices to data engineering (source control, automated testing, code review, CI/CD) 
  • Comfortable with ambiguity; can clarify requirements through conversation 
  • Interest in mentoring and developing less experienced engineers 
  • Professional data engineering experience (2+ years desired) 
  • Must be legally authorized to work in the United States 
  • Must not require visa sponsorship or have work authorization based on OPT or CPT 
  • Must be able to work from our office in Westfield, IN without relocation financial assistance 
SEP is a software product design and development company located in Westfield, IN. We provide powerful teams of thoughtful developers and designers to bring ideas to life. Founded in 1988, SEP is one of Indiana’s largest software development firms with 180 employees. Our clients span from Fortune 100 to scale-up companies. We are 100% employee-owned through an ESOP and are consistently recognized for our great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira Exceptional Employer).

We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities

SEP logo

About SEP

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

Carmel, IN, US

Year founded

1988