Data Engineer

Posted 8 Days Ago
Alpharetta, GA
110K-130K Annually
Senior level
Artificial Intelligence • Cloud • Database • Analytics
The Role
As a Data Engineer, you will design and maintain scalable data pipelines using Java and Spark, optimize SQL queries, and implement solutions with Snowflake. You'll collaborate with teams to understand data requirements and ensure efficient data processes, and may develop visualizations with Tableau.
Summary Generated by Built In

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.

Top Skills

Java
Spark
The Company
Cupertino, California
9 Employees
Hybrid Workplace
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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