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Azure DataBricks Engineer

PublishedPublished: 6/14/2022
Technology

Job Description

Job Description

Position: Azure DataBricks Engineer

Location: Alpharetta , Georgia. Onsite work schedule.

Employment Type: Contract

Duration: 12+ Months, extension likely for many years

Interview Type: MS team interview/In-person


Job Description: Immediate interview.

Experience Required: 6+ Years Overall | 3+ Years Azure Databricks Experience

About the Role

We are seeking a highly skilled Senior Azure Databricks Engineer to join our Data & Analytics team in Atlanta. The ideal candidate will have extensive experience designing, developing, and optimizing enterprise-scale data solutions using Azure Databricks, Apache Spark, and Microsoft Azure services.

This role will be responsible for building scalable data pipelines, implementing Lakehouse architectures, enabling real-time and batch data processing, and driving best practices for performance, governance, and security.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Databricks and PySpark.
  • Build and support ETL/ELT frameworks for large-scale structured and unstructured data.
  • Develop batch and real-time data processing solutions.
  • Implement and maintain Delta Lake and Medallion Architecture (Bronze, Silver, Gold).
  • Integrate data solutions with Azure Data Factory, ADLS Gen2, Azure Synapse, Event Hub, and other Azure services.
  • Optimize Spark workloads for performance, reliability, and cost efficiency.
  • Implement data quality checks, monitoring, and alerting processes.
  • Collaborate with business stakeholders, architects, analysts, and data scientists to deliver data solutions.
  • Establish and enforce data governance, security, and compliance standards.
  • Support CI/CD pipelines and automated deployment processes.
  • Troubleshoot and resolve production issues related to data pipelines and Databricks workloads.
  • Document technical solutions, architectural decisions, and operational procedures.

Required Qualifications

  • Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
  • 6+ years of experience in Data Engineering.
  • 3+ years of hands-on experience with Azure Databricks.
  • Strong experience with:
    • Azure Databricks
    • Apache Spark
    • PySpark
    • Python
    • SQL
    • Delta Lake
  • Experience with Azure Data Factory (ADF).
  • Experience with Azure Data Lake Storage Gen2 (ADLS Gen2).
  • Strong understanding of Data Warehousing, Data Lakes, and Lakehouse architectures.
  • Experience working with large-scale datasets and distributed computing environments.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications

  • Experience with Azure Synapse Analytics.
  • Experience working with Event Hub or Kafka.
  • Knowledge of Unity Catalog and data governance frameworks.
  • Experience with Delta Live Tables (DLT).
  • Experience with Terraform, ARM Templates, or Infrastructure as Code (IaC).
  • Experience with Azure DevOps or GitHub Actions.
  • Knowledge of Power BI and modern analytics platforms.
  • Cloud certifications such as:
    • Microsoft Azure Data Engineer Associate (DP-203)
    • Databricks Certified Data Engineer Associate/Professional

Technical Skills

Required

  • Azure Databricks
  • Apache Spark
  • PySpark
  • Python
  • SQL
  • Azure Data Factory
  • ADLS Gen2
  • Delta Lake
  • Git

What We're Looking For

The ideal candidate has hands-on experience building modern cloud-based data platforms and can demonstrate expertise in:

  • Lakehouse Architecture
  • Spark Performance Tuning
  • Enterprise Data Engineering
  • Data Pipeline Development
  • Real-Time Data Processing
  • Data Governance and Security
  • CDC (Change Data Capture) Implementations
  • Production Support and Troubleshooting
  • Azure Cloud Data Services
  • Cost Optimization and Scalability

Why Join Us?

  • Work on enterprise-scale cloud data modernization initiatives.
  • Collaborate with experienced data and cloud professionals.
  • Exposure to cutting-edge Azure and Databricks technologies.
  • Opportunity to drive impactful business solutions through data.
  • Long-term growth and career advancement opportunities.

\nCompany Description

MasterApp Labs is direct vendor of various State clients

Company Description

MasterApp Labs is direct vendor of various State clients

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