Data Engineering Engineer

Position: Data Engineering Engineer 3
Job-ID Reference
26-03276

Job Title:

(Data Engineering Engineer
3)
About Kyyba:

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Job Description We're seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of our Enterprise Data Platform. In this role, you'll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment.

You'll work with GCP Native technologies like Big Query, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance. This is a fantastic opportunity to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at ***. Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc.

for collecting, storing, processing and analyzing large volumes of data efficiently and accurately

Key Responsibilities:

1) Collaborate with business and technology stakeholders to understand current and future data requirements
2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
6) Ensure optimum performance and identify improvement opportunities

Skills Required:

Data/Analytics dashboards
Skills Preferred:
GCP
Experience

Required:

Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience). 5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred). Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like Big Query, Dataflow, and Data Proc.

Solid understanding of Service-Oriented Architecture (SOA) and microservices, and their application within a cloud data platform.

Experience with relational databases (e.g., PostgreSQL, MySQL), No

SQL databases, and columnar databases (e.g., Big Query). Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments. Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks. Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues. Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g., Big Query, Dataflow, Cloud Run, Data Proc).

A passion for data, innovation, and continuous learning.

Experience Preferred:
0

Education Required:

Bachelor's Degree Hybrid Position 4 days a week onsite
Education Preferred:
Master's Degree
Additional Information:
Data Pipeline Architect & Builder:
Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized, high-quality, and optimized for analytical use. Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data…