What are the responsibilities and job description for the DE Architect position at Tredence Inc.?
Role description
About the Role
Location - Atlanta - GA - Onsite 5 days
We are seeking a highly skilled GCP Data Engineer with strong expertise in data modelling to design, build, and optimize scalable data pipelines and architectures on Google Cloud Platform. This role is ideal for professionals who thrive in transforming raw data into well-structured, high-quality datasets that power analytics, reporting, and machine learning initiatives.
Key Responsibilities
- Design and implement data models (conceptual, logical, and physical) to support business intelligence, analytics, and operational systems.
- Develop and maintain ETL/ELT pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage.
- Collaborate with data analysts, scientists, and business stakeholders to translate requirements into efficient data structures.
- Ensure data quality, consistency, and governance across multiple sources and domains.
- Optimize BigQuery queries and storage for performance and cost efficiency.
- Implement best practices for data security, compliance, and scalability within GCP.
- Monitor, troubleshoot, and improve data workflows to ensure reliability and accuracy.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- Proven experience as a Data Engineer with hands-on expertise in Google Cloud Platform.
- Strong knowledge of data modelling techniques (star schema, snowflake schema, normalization/denormalization).
- Proficiency in SQL and experience with BigQuery optimization.
- Experience with Python/Java/Scala for data engineering tasks.
- Familiarity with data governance, metadata management, and data cataloging.
- Strong problem-solving skills and ability to work in cross-functional teams.
Preferred Qualifications
- Experience with machine learning pipelines and integration with AI/ML services on GCP.
- Knowledge of CI/CD practices for data engineering workflows.
- Exposure to data warehousing concepts and modern data lakehouse architectures.
- Certification in Google Cloud Professional Data Engineer is a plus.
What We Offer
- Competitive compensation and benefits package.
- Opportunity to work on cutting-edge cloud data projects.
- Collaborative and innovative work environment.
- Continuous learning and professional development support