Data Engineer

Sorry, this job was removed at 01:15 p.m. (CST) on Thursday, Nov 21, 2024
Alpharetta, GA
In-Office
110K-130K Annually
Artificial Intelligence • Cloud • Database • Analytics
The Role

Unleash your talents and venture into a new career that innovates and transforms products & services globally!

Data Engineer (Java & Spark)
 

Job Type: W2/Full Time
Location: Alpharetta, GA (Hybrid - 3 Days a Week)
Salary: $110k - $130k (additional $20k bonus.)

 

[Key Responsibilities]

We are seeking an experienced Data Engineer with a strong background in Java and Spark to join our team in Alpharetta, GA. This is a hybrid role, requiring you to be onsite three days a week. The ideal candidate will have over 8 years of experience in data engineering and be proficient in a variety of data technologies. Here are the key responsibilities:

  • Design, develop, and maintain scalable data pipelines and systems.
  • Work with large datasets using Spark, Hadoop, and Hive QL.
  • Develop and optimize SQL queries for data extraction and analysis.
  • Implement data solutions using Snowflake.
  • Write clean, efficient, and maintainable code in Java and Springboot.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Utilize Git and Teamcity for version control and continuous integration.
  • Create and maintain documentation for data processes and systems.
  • (Nice to have) Develop data visualizations using Tableau.
    [Key Requirements]
     
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Extensive experience with Spark, Hadoop, and Hive QL.
  • Proficiency in SQL and Snowflake.
  • Strong programming skills in Java and Springboot.
  • Experience with Git and Teamcity.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Experience with Tableau for data visualization. (preferred skill)
    [About Ccube]
    Ccube delivers measurable impact across industries with singular focus on Data + AI in the Cloud.
    Our Expertise:
  • Data Strategy & Architecture
  • Data Engineering & Integration
  • Analytics & AI
  • Cloud, DataOps & MLOps
    [Life @Ccube]
    At Ccube we,
  • Do more with less
  • Deliver WOW through service
  • Embrace and drive change and 
  • Stay humble
    Benefits 
  • Startup culture with opportunity to grow.
  • Performance bonuses.
  • Company stock options.
  • Health, dental and vision insurance plans.
  • Pursue growth and learning with career development expenses.

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The Company
Cupertino, California
9 Employees
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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