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Associate Azure Databricks Jobs in Illinois (NOW HIRING)

Digitas

Senior PowerBI/ Azure Associate

Chicago, IL · On-site

Design and optimize data models in Azure Synapse Analytics or Azure Databricks to support analytics and reporting. * Work on star schema, data lakehouse structures, and performance tuning for large ...

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Associate Azure Databricks information

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

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Associate Azure Databricks jobs near you
Senior PowerBI/ Azure Associate

Senior PowerBI/ Azure Associate

Digitas

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Analyst

Publicis Re:Sources is seeking an experienced Senior Data Analyst with 10-15 years of work experience to join our IT Business Intelligence & Analytics team. The ideal candidate will have extensive experience with Power BI, Azure Data Factory or Synapse Pipelines solutions and eco-system. The Senior Technical person will play a critical role in analyzing business requirements, designing and implementing solutions, and providing insights to drive business decisions. It will also include engaging with Finance & other domain users and owners, and collaborate with the rest of the IT team to deliver business insights leveraging available Analytics tools including Power BI for a global multinational organization.

Responsibilities
  • Data Integration & ETL
  • Develop and maintain data pipelines using Azure Data Factory (ADF) or Synapse for ingesting, transforming, and loading data from multiple sources.
  • Implement data orchestration, parameterized pipelines, and monitoring for reliability and performance.
  • Data Modeling & Warehousing
  • Design and optimize data models in Azure Synapse Analytics or Azure Databricks to support analytics and reporting.
  • Work on star schema, data lakehouse structures, and performance tuning for large datasets.
  • Collaborate with data architects to maintain data governance and security standards.
  • Reporting & Visualization
  • Develop interactive Power BI dashboards and reports that translate complex data into actionable insights.
  • Build and manage Power BI datasets, measures (DAX), and row-level security (RLS).
  • Work closely with business stakeholders to understand reporting needs and deliver user-friendly solutions.
  • Optimization & Automation
  • Monitor data workflows for performance and cost efficiency.
  • Implement automation for recurring processes and ensure high data quality.
  • Collaboration & Documentation
  • Collaborate with cross-functional teams (Data Engineers, Analysts, Business Users).
  • Maintain clear technical documentation for pipelines, models, and dashboards.
Qualifications

Bachelor's degree in IT or related field. 6-10 years of hands-on experience in data development and analytics. Strong expertise in:

  • Microsoft Power BI (DAX, Power Query, data modeling, and visualization).
  • Azure Synapse Analytics (SQL, dedicated SQL pools, serverless queries).
  • Azure Data Factory (pipelines, linked services, dataflows).
  • Solid understanding of SQL, data warehousing principles, and ETL concepts.
  • Experience with Azure Data Lake, Azure Blob Storage, or similar cloud storage systems.
  • Strong analytical and problem-solving skills.
  • Ability to work in an agile, fast-paced environment.

All your information will be kept confidential according to EEO guidelines.

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