Senior Data Analyst

September 20

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Description

• Create, build, and manage highly scalable and efficient data pipelines • Design and maintain data infrastructure for high-volume data processing • Collaborate closely with cross-functional teams to understand data requirements • Conduct data profiling, cleansing, and transformation for data accuracy • Identify opportunities to automate data processes and optimize existing pipelines • Develop and maintain detailed documentation for data pipelines and workflows • Contribute to developing internal tools for data accessibility across the organization • Support data governance initiatives ensuring compliance with data quality standards • Stay abreast of latest technologies and improve data engineering practices • Develop and implement optimized data models for data warehouses

Requirements

• 5+ years of Python expertise specializing in data engineering tasks • Code quality & efficiency with clean, maintainable, and efficient Python code • 5+ years of SQL experience with advanced skills in performance tuning • Cloud platform proficiency with AWS, GCP, or Azure • Proven ability to design and maintain scalable, high-performance data pipelines • Ability to work closely with cross-functional teams for effective technical solutions • Experience in orchestrating ETL and reverse ETL processes using Python • Commitment to ensuring reliability and scalability of data systems • Strong understanding of designing efficient data models and managing data warehouses

Benefits

• Customizable benefits including Health, Dental, Vision, and 401K Match • Flexible work options for specific roles • Virtual and in-person team events • Competitive compensation; Base pay is part of total compensation package plus annual bonus.