Senior Data Engineer

Sorry, this job was removed at 10:11 p.m. (CST) on Tuesday, May 06, 2025
Charlotte, NC
In-Office
Artificial Intelligence • Cloud • Database • Analytics
The Role

Hello Connections
We have an Urgent Hiring for a "
 Senior Data Engineer" in Charlotte, NC (Hybrid 3 Days a Week)
Below is the Job Description.


**H1B, H4 & USC Only** (W2 Preferred)

Experience: 8-12+ years
 

Senior Data Engineer
Charlotte, NC (Hybrid 3 Days a Week)
Full Time/W2
 

***Local Candidates are Highly Preferred**

Required Skills- Hadoop, GCP, Spark, Python ,Terraform, SQL, database performance

  •  8+ years development experience with  Hadoop Spark  Python and SQL
  • Build efficient and reliable ETL processes using Apache Spark and cloud-native tools on AWS
  • Hands on experience with Databricks Development
  • Solid understanding of distributed systems, data structures, design principles
  • Agile Development Methodologies (e.g. SAFe, Kanban, Scrum)
  • Design and modernize scalable, modular data pipelines from legacy SQL-based workflows
  • Optimize pipeline performance, reduce storage costs, and improve compute efficiency.
  • Ensure compliance with governance standards while maintaining data integrity and lineage
  • Proficient in Python or Scala for building and maintaining data pipelines.\
  • Deep expertise with Apache Spark, Hive, and distributed computing frameworks
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB).
  • Hands-on with AWS services for compute, storage, and orchestration.

Qualifications:
 

  •  Bachelor’s degree in computer science, Software Engineering, or a related field


[About Ccube]
Ccube: Pioneering Data-Driven Solutions in the Cloud
Ccube is a specialized firm that delivers measurable results across a wide range of industries by
focusing exclusively on Data and Artificial Intelligence within Cloud environments. We leverage
cutting-edge technologies and innovative strategies to help our clients harness the power of data
and achieve their business objectives.
Core Competencies:
Strategic Planning and Design of Data Systems: We collaborate with our clients to develop
comprehensive data strategies and design robust data systems that align with their business
goals. Our team of experts provides guidance on data architecture, data governance, and data
management best practices.
Development and Unification of Data Frameworks: We build and integrate data frameworks
that enable seamless data flow and analysis. Our solutions facilitate data ingestion, data
transformation, and data storage, ensuring data is readily available for business intelligence and
decision-making.
Advanced Data Analysis and Artificial Intelligence Applications: We employ sophisticated
data analysis techniques and artificial intelligence algorithms to extract valuable insights from
data. Our solutions include predictive modeling, machine learning, and natural language
processing, enabling our clients to make data-driven decisions and optimize their operations.
Cloud Computing, Data Operations, and Machine Learning Operations: We leverage the
scalability and flexibility of cloud computing to deliver efficient and cost-effective data solutions.
Our team of experts manages data operations and machine learning operations, ensuring
seamless integration and optimal performance.
Organizational Principles at Ccube:
At Ccube, we are guided by a set of core principles that shape our culture and drive our success:
Efficiency: We strive to maximize efficiency by optimizing resource utilization and streamlining
processes.
Client Satisfaction: We are committed to providing exceptional service and exceeding our clients'
expectations.
Innovation: We embrace innovation and continuously explore new technologies and approaches
to deliver cutting-edge solutions.
Humility: We maintain professional modesty and recognize that there is always room for
improvement.
Employee Advantages:
Ccube offers a stimulating and rewarding work environment with numerous benefits for our
employees:
Dynamic Startup Environment: We provide a fast-paced and entrepreneurial environment where
employees can learn, grow, and make a significant impact.
Career Growth Opportunities: We offer ample opportunities for career advancement and
professional development.
Performance-Based Incentives: We reward high-performing employees with competitive
compensation and performance-based bonuses.
Equity Participation: We offer equity participation options to eligible employees, providing them
with ownership and a stake in the company's success.
Professional Development Reimbursement: We encourage continuous learning and reimburse
employees for eligible professional development expenses.
Join Ccube and be part of a team that is shaping the future of data and AI in the cloud. 

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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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