Data Engineer

Quantum Technologies. LLC; Hartford (CT); On-site; USD 115,000 - 155,000; Full time

Job summary

Quantum Technologies. LLC is seeking a senior data engineer to design and implement robust data pipelines on Google Cloud Platform. You will build real-time processing with Kafka, manage BigQuery queries, and develop Airflow workflows with Cloud Composer.

Strong Python, SQL, and NoSQL design skills are required, along with hands-on GCP experience. You will work in an agile SAFe environment, collaborate across onshore/offshore teams, and document architecture and data flows for stakeholders.

Qualifications

• 7+ years of hands-on experience with GCP data services.
• Strong understanding of distributed systems and data engineering.
• Excellent communication and documentation skills.
• Experience in Agile SAFe environments.
• Experience with onshore/offshore collaboration.
• Experience with GitHub, RTC, automation tools preferred.

Responsibilities

• Design and implement robust data pipelines using GCP services (BigQuery, Cloud Storage, Pub/Sub).
• Develop and manage workflows with Cloud Composer for scheduling and orchestration.
• Write clean, scalable Python code and develop complex SQL queries in BigQuery.
• Build real-time data processing with Apache Kafka.
• Model NoSQL databases, especially MongoDB, with scalable schemas.
• Develop API integration scripts and maintain data validation techniques.
• Create data flow diagrams and communicate architecture to stakeholders.
• Collaborate in an agile SAFe environment, coordinating with onshore and offshore teams.

Skills

AI/ML in practice

GCP data services

Distributed systems

Python & SQL

Tools

BigQuery

Cloud Storage

Pub/Sub

Cloud Composer / Airflow

Kafka

MongoDB

Shell scripting

Linux

Job description

• Required - Must have experience AI - GPT, Gemini. Must be able to demonstrate how they use it. Using it as business use cases on resume. Must be highlighted clear on the resume
• Required - minimum 7 years of proven hands-on experience with GCP data services.
• Preferred - GCP 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.

Required:

• Design and implement robust data pipelines using Google Cloud Platform (GCP) 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.
• Develop and manage workflows using Cloud Composer 3

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.