Job Description
- Drive the design, development, and optimization of scalable data solutions that power analytics, reporting, and strategic decision-making.
- Build and optimize robust ETL/ELT pipelines for large structured datasets using SQL and Python (Pandas, PySpark).
- Analyze complex datasets to generate actionable insights for business stakeholders.
- Develop high-quality analytical datasets and reusable data models to ensure analysis-ready data.
- Perform data cleansing, transformation, and validation using advanced techniques including regular expressions.
- Write and optimize complex BigQuery queries for analytical exploration and production reporting.
- Integrate external data sources through APIs and web scraping to automate ingestion workflows.
- Design, maintain, and enhance scheduled pipelines using Apache Airflow.
- Apply big data processing, distributed computing, and performance optimization best practices.
- Architect scala...
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