Responsibilities:Design and develop data pipelines and ETL processes using Apache Airflow and Google Cloud DataflowExtract and analyze large datasets from relational databases (BigQuery, Redshift, Oracle, Teradata) using SQLPerform data analysis using Python and SQL with advanced statistical methodsCreate data visualizations using Tableau, Power BI, or R-Shiny Conduct hypothesis testing and A/B testing for business insightsUse Git for version control and collaborative developmentOptimize database queries and create views across multiple tablesReport analytical findings to business stakeholdersSkills and Qualifications:Bachelor's degree in quantitative field (Statistics, Computer Science, Data Science, or related)5+ years of experience in data analysisAdvanced EnglishProficiency in Python and SQLExperience with Apache Airflow for workflow orchestrationExperience with Google Cloud Dataflow and ETL processesExperience with relational databases (BigQuery, Redshift, Oracle, or Teradata) Proficiency with data visualization tools (Tableau, Power BI, or R-Shiny)Experience with Git version controlKnowledge of statistical analysis and hypothesis testing
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