Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Data Engineer
Python
AWS
Data pipeline orchestration
ETL
Experience Design
Extract
Transform
Load
Continuous Delivery
Continuous Integration
Data Engineering
Data Modeling
Amazon RDS
Machine Learning (ML)
Management
Orchestration
Remote Desktop Services
Amazon S3
Amazon Web Services
Analytics
Apache Spark
Docker
Kubernetes
Workflow
Job Details
Position : Senior Python Data Engineer
Indianapolis, IN (Onsite)
Locals
Skill Matrix
Skills | Years of Exp | Year lastly Used | Rating Out of 10 |
Data Engineer |
|
|
|
Strong Python Coding Experience |
|
|
|
AWS |
|
|
|
Data pipeline orchestration |
|
|
|
ETL Process |
|
|
|
Data Engineering Technical Architect (10+ years of experience)
Design and implement scalable ETL pipelines using Python and AWS services.
- Model and manage datasets for analytics and machine learning workflows.
- Optimize data workflows for performance, reliability, and maintainability.
The resource should possess the following skills and experience:
- Strong proficiency in Python for data engineering.
- Hands-on experience with AWS (e.g., S3, Lambda, Glue, RDS).
- Solid understanding of ETL processes and data pipeline orchestration.
These are nice-to-have skills to complement the required skills:
- Experience with data modeling for structured and semi-structured data.
- Familiarity with Spark, Airflow, or similar orchestration tools.
- Exposure to ML workflows or LLM integration.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD practices
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.