Sr DataBricks Engineer

Jacksonville, FL, US • Posted 5 days ago • Updated 3 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Data Processing
  • Analytics
  • Data Quality
  • Database
  • Management
  • Collaboration
  • Version Control
  • Testing
  • Documentation
  • Mentorship
  • Knowledge Sharing
  • Computer Science
  • Software Engineering
  • Data Engineering
  • Python
  • Java
  • Scala
  • Apache Spark
  • Big Data
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Data Warehouse
  • Extract
  • Transform
  • Load
  • ELT
  • Algorithms
  • Problem Solving
  • Conflict Resolution
  • Analytical Skill
  • Databricks
  • Terraform
  • Continuous Integration
  • Continuous Delivery
  • Machine Learning (ML)
  • Workflow
  • Docker

Summary

SNI Companies has partnered with a growing company in Jacksonville, Florida in search of a Databricks Engineer.

Senior Data Engineer Job Description

Responsibilities:
  • Designing, building, and deploying data pipelines and workflows using Databricks.
  • Developing and optimizing Apache Spark applications for data processing and analytics.
  • Integrating Databricks with various data sources and platforms.
  • Ensure data quality, integrity, and governance across all platforms
  • Optimize database performance and manage large datasets efficiently
  • Manage and configure all aspects of the Databricks environment.
  • Monitor and troubleshoot data pipelines and workflows within Databricks.
  • Collaborate with stakeholders and analysts to implement machine learning models.
  • Staying up-to-date with the latest Databricks features and best practices.
  • Implement and enforce best practices in data engineering, including version control, testing, and documentation
  • Mentor junior data engineers and contribute to team knowledge sharing.
Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years of experience in data engineering or related roles
  • Strong proficiency in at least one programming language (e.g., Python, Java or Scala).
  • Experience with Apache Spark and big data processing frameworks.
  • Knowledge of cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Familiarity with data warehousing and ETL/ELT processes.
  • Understanding of machine learning concepts and algorithms.
  • Strong problem-solving and analytical skills.
Additional Skills (depending on the specific role):
  • Experience with Databricks Delta Lake or MLflow.
  • Knowledge of infrastructure as code (IaC) tools like Terraform.
  • Familiarity with CI/CD pipelines for data and machine learning workflows.
  • Experience with containerization technologies like Docker.
#SNIT
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: snibot
  • Position Id: 391838
  • Posted 5 days ago
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