Job Description
Responsibilities:
Design and develop data pipelines and ETL processes using Apache Airflow and Google Cloud Dataflow
Extract and analyze large datasets from relational databases (Big Query, Redshift, Oracle, Teradata) using SQL
Perform data analysis using Python and SQL with advanced statistical methods
Create data visualizations using Tableau, Power BI, or R-Shiny Conduct hypothesis testing and A/B testing for business insights
Use Git for version control and collaborative development
Optimize database queries and create views across multiple tables
Report analytical findings to business stakeholders
Skills and Qualifications:
Bachelor's degree in quantitative field (Statistics, Computer Science, Data Science, or related)
5+ years of experience in data analysis
Advanced English
Proficiency in Python and SQL
Experience with Apache Airflow for workflow orchestration