Data Bricks DE with Azure

Location: California

## Data Bricks DE with Azure Apply locations:
California time type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
August 31, 2026 (22 days left to apply) job requisition :
SR-44622

It's fun to work in a company where people truly BELIEVE in what they are doing!
* We're committed to bringing passion and customer focus to the business.
*** Azure Databricks Data Engineer
** Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Please Note:

We are not offering sponsorship at this time.
** Role Overview
** We are seeking an experienced
** Azure Databricks Data Engineer
** to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong expertise in Azure Data Engineering technologies, Databricks, data pipelines, data warehousing, and big data processing. This role involves collaborating with business stakeholders, architects, data scientists, and application teams to deliver high-quality data platforms that support analytics and AI initiatives.
** Key Responsibilities
*** Design, build, and optimize scalable data pipelines using
** Azure Databricks**.
* Develop ETL/ELT workflows for large-scale structured and unstructured datasets.
* Implement batch and real-time data processing solutions using
** PySpark
* * and Spark SQL.
* Build and maintain data ingestion frameworks from multiple data sources.
* Develop and manage data lake solutions using
** Azure Data Lake Storage (ADLS Gen2)**.
* Integrate data from cloud and on-premises systems into enterprise data platforms.
* Implement data quality, validation, and monitoring frameworks.
* Optimize Spark jobs for cost, scalability, and performance.
* Design dimensional models and support data warehouse initiatives.
* Collaborate with business users to understand reporting and analytics requirements.
* Automate deployment processes using CI/CD pipelines.
* Participate in architecture discussions and provide technical leadership to junior engineers.
* Ensure adherence to security, governance, and compliance standards.
** Required Technical Skills
**** Azure Services
*** Azure Databricks
* Azure Data Factory (ADF)
* Azure Data Lake Storage Gen2 (ADLS)
* Azure Synapse Analytics
* Azure Key Vault
* Azure Monitor
* Azure Dev Ops
** Data Engineering
*** PySpark* Spark SQL
* Delta Lake
* ETL/ELT Pipeline Development
* Data Modeling
* Data Warehousing Concepts
* Data Governance and Data Quality
** Programming
* ** Python* SQL
* Scala (Preferred)
** Dev Ops & Automation
*** Azure Dev Ops
* Git* CI/CD Pipelines
* Infrastructure as Code (Terraform preferred)
** Required Qualifications
*** Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
* 6-10 years of experience in Data Engineering and Analytics.
* Minimum 3+ years of hands-on experience with Azure Databricks.
* Strong experience with PySpark, SQL, and cloud-native data platforms.
* Experience building enterprise-scale data lakes and data warehouses.
* Knowledge of performance tuning and optimization techniques in Spark.
* Experience working in Agile delivery environments.
** Preferred Qualifications
*** Azure Data Engineer Associate Certification (DP-203).
* Experience with Unity Catalog and Databricks Workflows.
* Knowledge of Delta Live Tables (DLT).
* Experience supporting AI/ML workloads and data science teams.
* Exposure to Snowflake, Power BI, or Microsoft Fabric.
* Healthcare, Life Sciences, or Pharma domain experience is a plus.
*
* Note:

** The job description may be subject to…