Posted:1 hour ago|
Platform:
Hybrid
Full Time
Job Description:
We are seeking an experienced Data Engineer for a contract/consulting engagement to design, build, and maintain scalable data infrastructure using Google Cloud Platform technologies and advanced analytics visualization. This role requires 5-8 years of hands-on experience in modern data engineering practices with a strong focus on cloud-native solutions and business intelligence.
Key Responsibilities:
Data Infrastructure & Engineering (70%)
Experience in designing tables and working with complex queries in Google BigQuery
Build and maintain data transformation workflows using Dataflow, Dataform
Design and implement robust data pipelines using Apache Airflow for workflow orchestration and scheduling
Architect scalable ETL/ELT processes handling large-scale data ingestion from multiple sources
Optimize BigQuery performance through partitioning, clustering, and cost management strategies
Collaborate with DevOps teams to implement CI/CD pipelines for data infrastructure
Solid technical background with a complete understanding of Data Warehouse Modeling, architectures, OLAP, OLTP data sets, etc
Experience with Java, Python will be plus
Analytics & Visualization (30%)
Create compelling data visualizations and interactive dashboards using Tableau
Experience in designing Tableau models with Live & Extract data source. Good to have experience in Tableau Prep
Partner with business stakeholders to translate requirements into analytical solutions
Design and implement self-service analytics capabilities for end users
Optimize Tableau workbooks for performance and user experience
Integrate Tableau with BigQuery for real-time analytics and reporting
Technical Skills
Core Data Engineering (Must Have)
5-8 years of progressive experience in data engineering roles
Expert-level proficiency in SQL with complex query optimization experience
Hands-on experience with Google BigQuery for data warehousing and analytics
Proven experience with Apache Airflow for workflow orchestration and pipeline management
Working knowledge of Dataflow and Dataform for data transformation and modeling
Experience with GCP services: Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer
Visualization & Analytics
Strong proficiency in Tableau for data modeling, data visualization and dashboard development
Experience integrating Tableau with cloud data platforms
Understanding of data visualization best practices and UX principles
Knowledge of Tableau Server/Cloud administration and governance
Additional Technical Requirements
Experience with version control systems (Git) and collaborative development practices
Knowledge of data modeling techniques (dimensional modeling, data vault)
Understanding of data governance, security, and compliance frameworks
Experience with infrastructure as code (Terraform preferred)
Familiarity with scripting languages (Python/Java) for data processing
Preferred Qualifications
Google Cloud Professional Data Engineer certification
Tableau Desktop Certified Professional or equivalent certification
Experience with real-time data processing and streaming analytics
Knowledge of machine learning workflows and MLOps practices
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