Stellent IT LLC
Stellent IT LLC

Databricks Data Engineer

Charlotte, NC, US • Posted 11 hours ago • Updated 13 minutes ago
Full Time
6 Months
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytics
  • Extract
  • Transform
  • Load
  • ELT
  • Big Data
  • Data Processing
  • Management
  • Data Lake
  • Storage
  • Data Governance
  • Access Control
  • Unity
  • Optimization
  • Continuous Integration
  • Continuous Delivery
  • DevOps
  • Git
  • Version Control
  • Terraform
  • Data Engineering
  • Cloud Computing
  • Databricks
  • Apache Spark
  • PySpark
  • Microsoft Azure
  • ADF
  • SQL
  • Python
  • Scala
  • NoSQL
  • Data Storage
  • Data Modeling
  • Data Quality
  • Computer Science

Summary

Hello


Databricks Data Engineer

THIS IS ALL ABOUT STRONG DATABRICKS EXPERIENCE

Location: Charlotte, NC (two days hybrid)

Interview: Teams with final round in person possible (must be agreed upon at submittal)

Exp Level: 9+ years

Duration: 12 months +

Please supply birth month an day and last four of SSN

Assessment link:- must have to done

Databricks Engineer to design, build, and maintain scalable data pipelines, lakehouse architectures, and analytics solutions using Microsoft Azure and the Databricks platform.

Key Responsibilities

  • Pipeline Development: Design and build Extract, Transform, Load (ETL) and ELT data pipelines using Azure Data Factory (ADF) and Azure Databricks
  • Big Data Processing: Write optimized data processing code using Apache Spark, PySpark, Python, Scala, and advanced SQL.
  • Storage & Architecture: Implement and manage data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake / lakehouse patterns.
  • Governance & Security: Configure data governance, lineage, and access controls using Databricks Unity Catalog and Azure IAM.
  • Optimization & Operations: Monitor, troubleshoot, and tune Spark jobs and data pipelines for performance, reliability, and cost-efficiency.
  • CI/CD & DevOps: Support deployment processes utilizing Azure DevOps, Git version control, and infrastructure-as-code tools like Terraform.

Required Skills & Qualifications

  • Experience: 3 to 7+ years of total experience in data engineering or cloud-based data platform development.
  • Core Technologies: Hands-on proficiency in Azure Databricks, Apache Spark, PySpark, and Azure Data Factory (ADF).
  • Languages: Advanced SQL and solid programming skills in Python or Scala.
  • Data Concepts: Strong grasp of Delta Lake, relational/NoSQL data storage, data modeling, and data quality standards.
  • Education: Bachelor's degree in Computer Science, Engineering, or a related quantitative field (often preferred)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91022079
  • Position Id: 2026-52612
  • Posted 11 hours ago
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