Data Engineer
Cai
Global tech services firm combining talent and technology to deliver tailored digital transformation solutions.
Senior Data Modeler designing and implementing modern data models on AWS and other databases.
24 days ago ago
$74 - $84
Experienced (8-12 years)
Full Time
Trenton, NJ
Hybrid
Company Size
9,000 Employees
Service Specialisms
Engineering
Consulting
Design
Technical Services
Project Management
Turnkey
Sector Specialisms
Local Government
State Government
Municipalities
Corporate Enterprises
Healthcare
Financial Technology
Transportation Authority
Public Sector
Role
Description
reverse engineering
naming standards
data modeling
performance tuning
system integration
model optimization
- Perform reverse engineering of physical data models and analyze variances across source systems
- Develop best practices for standard naming conventions and coding practices to ensure consistency
- Collaborate with Application Development teams to build data strategies, data flows, and conceptual data models
- Work with IT teams to address performance requirements, project limitations, and interfaces
- Optimize and update data models to support data initiative projects throughout various implementation phases
- Evaluate system integration challenges and recommend appropriate solutions
- Review modifications to existing software to improve efficiency and performance
- Design and implement modern data modeling solutions using relational, dimensional, snowflake, star schemas, and data lake models
Requirements
sql
aws
snowflake
data modeling
data lakes
communication
- Knowledge of modern data management trends and modeling techniques
- 8+ years of experience in data modeling for databases such as DB2, AWS Redshift, Dynamo DB, Postgres, SQL Server, and PEGA Applications
- 6+ years of experience with data modeling software
- Self-motivated and capable of working independently with minimal supervision
- Strong SQL and data profiling skills across various relational databases
- Exposure to Snowflake's Cloud Data Warehouse
- Proficiency in AWS and other cloud systems
- Experience in building data lakes for structured and unstructured data
- Database tuning techniques
- Excellent communication skills and ability to collaborate with internal and external teams
- Expertise in relational data, dimensional data, unstructured data, and master data
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
$1.3B Revenue
Annual Revenue
Generates $1.3 billion in annual revenue, reflecting consistent growth over four decades.
Four Decades
Years in Operation
Operates for over 40 years, demonstrating long-term stability and growth.
- Applies expertise in IT services and consulting to modernize legacy systems and secure infrastructure.
- Portfolio includes application development, managed services, AI-driven data analytics, and cybersecurity.
- Typically handles public-sector digital transformation and commercial IT modernization efforts.
- Recognized as a top employer and leader in application modernization services.
Culture + Values
- Innovative mindset: Embrace new ideas and technologies to deliver the best solutions.
- Collaboration: Work together, fostering teamwork across all levels.
- Customer-focused: Understand and exceed customer expectations with tailored solutions.
- Integrity: Operate with transparency, honesty, and respect.
- Continuous improvement: Always strive to grow, learn, and adapt to new challenges.
Environment + Sustainability
2040
Net-zero commitment
This refers to the company's objective of achieving net-zero emissions by the year 2040. The goal represents a significant environmental commitment to reducing carbon impact.
- Focuses on reducing energy consumption and improving efficiency across all operations.
- Implements sustainability practices in supply chain management, emphasizing environmentally responsible sourcing.
- Promotes green technologies and eco-friendly solutions for clients, integrating sustainability into their offerings.
Inclusion & Diversity
40% by 2025
Gender Diversity Goal
Aim to achieve 40% female representation in leadership roles by 2025.
- Track and report gender ratios regularly to ensure transparency in progress towards diversity goals.
- Prioritizes diversity through recruitment and leadership development programs.
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