Senior Databricks/Python Developer

Job not on LinkedIn

🔥 14 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 13%

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Compass

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Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

📋 Description

• Design and develop scalable data pipelines using Databricks (PySpark) for processing and analyzing large datasets • Collaborate with engineering and data science teams to understand requirements and deliver efficient solutions • Implement complex data transformations, data cleansing, and aggregations using PySpark, and optimize code performance • Use Python ElementTree for efficient XML data manipulation and heterogeneous data integration • Develop Python scripts using Pandas for structured data manipulation and analysis • Ensure data quality and integrity by implementing testing and monitoring practices • Contribute to defining and implementing data engineering best practices and data architecture • Maintain comprehensive technical documentation for implemented processes and solutions

🎯 Requirements

• Experience developing data solutions using Python • Experience building and maintaining data pipelines with Databricks (PySpark) • Experience processing, transforming, and analyzing large volumes of data • Experience manipulating and processing data using Pandas • Knowledge of reading, processing, and integrating XML data using Python ElementTree • Experience with cloud platforms, especially Microsoft Azure • Knowledge of data quality, integrity, and monitoring practices • Experience defining and implementing data engineering and architecture best practices • Experience collaborating with Data Engineering, Analytics, and Data Science teams • Knowledge of performance optimization for pipelines and distributed processing • Familiarity with technical documentation for data processes, pipelines, and solutions

🏖️ Benefits

• Meal and/or food allowance • Health and dental insurance • Pet health insurance • Home office allowance (for remote positions) • Welcome kit during onboarding • Life insurance • Zenklub, with psychological and nutritional support • TotalPass • Certification and continuous training program with partners (Adobe, Anthropic, AWS, Google, Microsoft, Salesforce) • Partnerships and discounts to support your professional development • Access to UOL content • Maternity kit • Extended maternity and paternity leave • Referral program

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