Data Engineer

Valiant Technologies LLC; Hartford (CT); On-site; USD 120,000 - 180,000; Full time

Job summary

Valiant Technologies LLC is seeking a skilled Data Engineer to design and implement robust data pipelines on Google Cloud Platform (GCP) using BigQuery, Cloud Storage, and Pub/Sub. You will develop workflows with Cloud Composer for orchestration and write clean Python code for scalable data processing.

Ideal candidates will have hands-on experience with Apache Kafka, MongoDB, and SQL optimization in BigQuery, plus Linux scripting and API integration skills.

Qualifications

• Design and implement robust data pipelines using GCP services such as BigQuery, Cloud Storage, and Pub/Sub.
• Develop workflows using Cloud Composer (Airflow) for scheduling and orchestration.
• Write clean, efficient, and scalable Python code.
• Craft complex SQL queries in BigQuery with window functions, CTEs, and performance tuning.
• Build and maintain real-time data processing with Apache Kafka.
• Model and manage MongoDB with scalable schema design.
• Utilize Shell scripting and Linux system administration to support data infrastructure.
• Conduct data profiling and implement validation techniques to ensure data quality and integrity.
• Develop and maintain API integration scripts for automation and data exchange.
• Troubleshoot and resolve data-related issues with strong analytical skills.
• Create and maintain data flow diagrams to communicate architecture clearly.
• Develop and manage workflows using Cloud Composer 3.

Responsibilities

• Design and implement data pipelines on GCP.
• Develop and manage Cloud Composer workflows.
• Write Python code for data processing tasks.
• Query and optimize BigQuery SQL for performance.
• Implement real-time data pipelines with Kafka.
• Manage MongoDB data models and schemas.
• Perform Linux system and shell scripting tasks for infra support.
• Profile data and validate quality across pipelines.
• Create API integrations for automation and data exchange.
• Troubleshoot data issues and document resolutions.
• Diagram data flows for stakeholders.

Skills

AI and ML usage (GPT, Gemini)

Distributed systems

Python programming

SQL (BigQuery)

Real-time data processing

NoSQL (MongoDB)

Shell scripting

Linux administration

Data profiling & validation

API integration

GitHub

RTC

Agile / SAFe

Onshore/offshore collaboration

Communication & documentation

Tools

BigQuery

Cloud Storage

Pub/Sub

Cloud Composer (Airflow)

Apache Airflow

Kafka

MongoDB

Linux

Shell scripting

GitHub

RTC

Cloud Composer 3

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.