Note: The job is a remote job and is open to candidates in USA. Tredence Inc. is a leading analytics services firm specializing in business analytics, data science, and software engineering. As a Specialist Data Engineer, you will design and optimize data pipelines on Google Cloud Platform for the retail sector, enabling insightful decision-making and business value for clients.
Responsibilities
- Design, develop, and maintain workflows using GCP Composer and other GCP services
- Architect scalable solutions leveraging BigQuery, BigTable, and Datastore tailored to retail data requirements
- Develop and optimize frameworks using DataFlow, DataProc, ensuring high-quality ingestion and transformation
- Work with data scientists, analysts, and engineers to integrate solutions supporting advanced analytics and AI
- Manage and automate deployment pipelines for consistent system performance
- Analyze and resolve data engineering issues, proactively improving reliability
- Document processes, maintain standards, and ensure compliance with organizational and client policies
Skills
- 10–15 years of professional experience in data engineering with strong focus on GCP
- Expert-level knowledge in GCP Composer, BigQuery, BigTable, DataFlow, DataProc, Datastore, and DevOps tooling
- Advanced programming skills in Python and proficiency in SQL
- Bachelor's degree in Computer Science, Engineering, IT, or related field
- Strong problem-solving abilities and excellent communication skills
- Experience working in retail data environments or comparable data-intensive domains
- GCP certifications (Google Professional Data Engineer, Google Cloud DevOps Engineer)
- Familiarity with Docker and Kubernetes
- Experience with Java or Scala for data workloads
- Knowledge of machine learning workflows and pipeline integration
- Exposure to agile methodologies and cloud security best practices
Benefits
- Benefit from a hybrid work model supporting work-life balance
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