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Data Infrastructure Engineer
Shiftcode Analytics, Inc
- United States
- United States
À propos
Visa : USC, GC, GC EAD, H4
This is hybrid from day-1 ( Need only local candidates )
Description :
Role Overview
As a core member of the data engineering team, you will design, build, and maintain the systems that ensure accurate, timely, and secure data access across the organization. This role involves working with large datasets, complex architectures, and cross functional teams to transform raw information into actionable insights.
Key Responsibilities
Data Infrastructure Design
— Architect, build, and maintain databases, data warehouses, and end to end data pipelines.
Data Collection & Transformation
— Integrate data from diverse sources (databases, APIs, etc.) and develop efficient pipelines to convert raw data into usable formats, dashboards, and reports.
Data Security & Storage
— Ensure data is stored securely, efficiently, and in a manner optimized for analysis and reporting.
Data Quality Management
— Implement validation, consistency checks, and quality control processes to maintain reliable datasets.
Pipeline Optimization
— Improve pipeline performance for speed, scalability, and availability.
Cross Functional Collaboration
— Partner with analysts, data scientists, engineers, and business stakeholders to understand requirements and deliver the right data solutions.
System Monitoring & Troubleshooting
— Monitor system performance, resolve issues, and perform routine maintenance.
Architecture Governance
— Support configuration control, documentation, and change impact analysis for the enterprise data architecture, including identifying Authoritative Sources of Truth (ASOTs) and managing data replication into Midas and/or AWS environments.
Power BI Data Transformation
— Support data modeling and transformation workflows within Power BI.
Required Skills & Competencies
Excellent written and verbal communication skills.
Proven ability to work in team environments where individual contributions are critical.
Strong analytical abilities with foundational knowledge in
probability and statistics
and
mathematical programming .
Proficiency with tools and platforms such as:
Power BI, Visual Basic, MS Excel
MATLAB/Simulink, Mathcad
MagicDraw, Midas
AWS / AWS Redshift
SSAS, Alation, Dataiku
Oracle, SQL
Familiarity with
Atlassian Jira
or
ServiceNow .
Ability to troubleshoot server related issues.
Strong organizational skills with the ability to prioritize in a fast paced environment.
Ability to independently research, analyze, and develop solutions.
Ability to translate data into insights and actionable recommendations.
Knowledge in areas such as:
Applied mathematics
Linear, nonlinear, and integer programming
Network analysis
Queuing theory
Economic evaluation
Experience developing data models, process flows, and documenting/validating current state business processes.
Ability to work effectively in cross functional engineering environments.
Strong problem solving skills and sound decision making aligned with policies and procedures.
Experience defining data collection requirements and enabling downstream data use.
Understanding of technical strategies, architectures, and standards.
High attention to detail and strong self management.
Experience with structured problem solving methodologies.
Knowledge of technical systems relevant to
combat vehicles
(preferred).
Experience collaborating with development teams.
Understanding of Agile metrics and reporting.
At least
1 year of Scrum/Agile management experience .
In depth understanding of engineering functions.
Experience Requirements
6 years required ,
10 years preferred .
Education
Bachelor's degree in
Data Management ,
Data Science ,
Mathematics ,
Statistics , or related field.
Master's degree preferred.
Compétences linguistiques
- English
Avis aux utilisateurs
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