Google Cloud Platform Data Engineer (only local to Hartfort, CT) - VLink Inc - Hartford, CT, US | Dice.com

VLink Inc

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Google Cloud Platform Data Engineer (only local to Hartfort, CT)

Hartford, CT, US • Posted 20 hours ago • Updated 20 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

50% Travel Required

On-site

Depends on Experience

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Job Details

Skills

API
Agile
Analytical Skill
Apache Airflow
Apache Kafka
Artificial Intelligence
Cisco
Cloud Computing
Cloud Storage
Data Quality
Data-flow Diagrams
Database
Documentation
Communication
Conflict Resolution
Data Engineering
Data Processing
Data Profiling
FOCUS
GitHub
Good Clinical Practice
Google Cloud
Google Cloud Platform
Interactive Voice Response
Linux Administration
Management
Microsoft Exchange
MongoDB
NoSQL
Offshoring
Orchestration
Performance Tuning
Problem Solving
Python
RTC
Real-time
SAFE
SQL
Scheduling

Summary

Title: Google Cloud Platform Data Engineer

Location: Hartford, CT **MUST BE LOCAL**

Required - minimum 8 years of proven hands-on experience with Google Cloud Platform data services.

Preferred - Google Cloud Platform Google Cloud Professional Data Engineer Certification.

Required Strong understanding of distributed systems and data engineering best practices.
Required Excellent communication and documentation skills.
Required Ability to work independently and collaboratively in a fast-paced environment.
Required experience in Agile methodology with preferred experience in SAFe methodology
Required good communication and collaborative skills
Required experience working in onshore/offshore support model collaborating work with offshore teams.
Preferred experience working with GitHub, RTC, automation tools.
Preferred experience AI programming, IVR Technologies like AYAYA, CISCO, Chatbot etc.

Required - minimum 8 years of proven hands-on experience in the following:

Design and implement robust data pipelines using Google Cloud Platform (Google Cloud Platform) services such as BigQuery, Cloud Storage, and Pub/Sub.
Develop and manage workflows using Cloud Composer (Apache Airflow) for efficient scheduling and orchestration.
Write clean, efficient, and scalable code in Python, leveraging advanced programming techniques.
Craft complex SQL queries in BigQuery, including window functions, CTEs, and performance tuning strategies.
Build and maintain real-time data processing systems using Apache Kafka.
Model and manage NoSQL databases, particularly MongoDB, with a focus on scalable schema design.
Utilize Shell scripting and perform Linux system administration tasks to support data infrastructure.
Conduct data profiling and implement validation techniques to ensure data quality and integrity.
Develop and maintain API integration scripts for seamless service automation and data exchange.
Troubleshoot and resolve data-related issues with strong analytical and problem-solving skills.
Create and maintain data flow diagrams to clearly communicate architecture and pipeline logic to stakeholders.

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.

Dice Id: RTL109178
Position Id: 8807494
Posted 20 hours ago

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Google Cloud Platform Data Engineer (only local to Hartfort, CT)

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