Data Scientist
Aziro Technologies Llc
Plano, United States
22 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Amazon S3
Business Analytics Applications
Confluence
Big Data
Data Virtualization
Data Warehousing
Document-Oriented Databases
Apache Hive
Python (Programming Language)
Machine Learning
+9 more
Standard Sql
Tableau (Software)
Data Processing
Build Management
Data Lakes
Pyspark
Data Analytics
Data Pipelines
Databricks
Job description
- Design and build analytical data models and ELT pipelines using Databricks, PySpark, and SQL
- Develop pricing analytics including elasticity, competitive pricing, margin optimization, and recommendation outputs
- Create Tableau dashboards and enable self-service analytics for business stakeholders
- Orchestrate and monitor pipelines using Apache Airflow; ensure data quality, reliability, and performance
- Collaborate with data scientists to productionalize ML models via Amazon SageMaker
- Optimize queries and data processing for large-scale datasets
- Partner with product, pricing, and business teams to deliver actionable insights
- Document data models, logic, and best practices in Confluence
Requirements
- 7-10 years of experience in analytics engineering, BI, or data analytics
- Strong SQL and dimensional data modeling expertise
- Advanced Python/PySpark and Databricks experience (Delta Lake, Spark SQL)
- Proven Tableau dashboard development experience
- Hands-on experience with Airflow and AWS (S3, Lambda, SageMaker)
- Knowledge of pricing analytics and revenue optimization concepts
- Experience with Denodo or similar data virtualization tools
- Strong communication skills and ability to translate business needs into analytics solutions
- Bachelor’s degree required; Master’s and relevant certifications preferred
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