Senior Full Stack Developer (Data Engineering)
LTD Global
Southfield, MI, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Airflow
Amazon Web Services
HTML5
Automation of Tests
Microsoft Azure
BigQuery
Cascading Style Sheets (CSS)
Code Review
Continuous Integration
+30 more
Information Engineering
Data Warehousing
Database Queries
Django Web Framework
Python (Programming Language)
Performance Tuning
Next.js
Software Engineering
SQL Databases
TypeScript
Data Processing
Scripting
ReactJS
Flask (Web Framework)
Snowflake
Generative AI
Git
Fastapi
Kubernetes
Information Technology
Apache Kafka
Machine Learning Operations
Api Design
Restful APIs
Terraform
Es2015
Data Pipelines
Docker
Amazon Redshift
Databricks
Requirements
Application Programming Interface (API), Python Programming/Scripting Language, Data Processing, Performance Tuning/Optimization, SQL (Structured Query Language), Data Modeling, Performance Modeling, Software Development, CSS (Cascading Style Sheet), JavaScript, * 5+ years of experience with Python, including API development and data processing.
- Strong SQL skills, including complex queries, data modeling, and performance tuning.
- 2+ years of hands-on experience with dbt, including models, testing, and documentation.
- 3+ years of experience developing production applications using React.
- Strong knowledge of JavaScript (ES6+), HTML5, and CSS3.
- Experience building REST APIs using FastAPI, Flask, or Django.
- Experience designing and maintaining ELT pipelines and data warehouses.
- Hands-on experience with Git, code reviews, automated testing, and CI/CD.
- Experience with at least one cloud platform: AWS, Azure, or GCP.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Strong communication skills and experience working directly with clients.
Preferred:
- TypeScript, Next.js, Airflow, Dagster, or Prefect.
- Experience with Snowflake, BigQuery, Redshift, or Databricks.
- Knowledge of Docker, Kubernetes, Terraform, or Kafka.
- Experience with BI tools, AI/ML pipelines, or LLM-based applications.
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