Senior Data Engineer | PySpark and AWS

Description

Job Summary: Join a culture that encourages innovative ideas and the development of technology solutions for global clients, combining the best of technology and human creativity. Key Highlights: 1. A culture that encourages innovative ideas to flourish 2. Making a significant impact on clients' businesses and communities 3. Working with the latest cloud, security, and AI technologies **A team driving change** We embrace the power of change to create shared value and success for our clients, employees, shareholders, partners, and communities. We operate the world’s largest network of advanced technology centers and intelligent operations. **Provoking market change** Together across the globe, we strive to make a world of difference. Accenture is a leading global professional services company delivering digital, cloud, and security solutions. By combining unparalleled experience and specialized skills across more than 40 industries, we deliver services in Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. When we work together, change becomes the most dynamic and powerful source of progress available to you. With over 738,000 people across 120+ countries, we are committed to innovation every day and transforming the world into a better place for people. **Join us — Technology** We combine innovation, new technological capabilities, and industry expertise to help clients innovate at scale, transform, and grow their businesses. Join a culture that encourages innovative ideas to flourish and drives meaningful impact on our clients’ businesses and communities. Combine the best of technology and human creativity in large-scale IT and business transformation programs for global clients using the latest technologies in cloud, security, data, AI, digital, Industry X, enterprise platforms, and intelligent automation. **Technical Requirements:** * ### **Experience developing data pipelines using Python and PySpark;** * ### **Professional experience in data architecture and processing within AWS environments (e.g., S3, Glue, EMR, Lambda, Redshift);** * ### **Experience with ETL/ELT, ingestion, transformation, and processing of large volumes of data;** * ### **Proficiency in SQL for data manipulation, modeling, and query optimization;** * ### **Knowledge of data modeling for analytical environments (Data Lake, Data Warehouse);** * ### **Experience with code versioning (Git) and software engineering best practices;** * ### **Familiarity with workflow orchestration tools (e.g., Airflow or similar) is desirable.** * Advanced or Fluent English — preferred **Benefits:** * ### **100% company-subsidized medical assistance (for employee and dependents).** * ### **Dental assistance.** * ### **Meal allowance or food allowance, with no payroll deduction.** * ### **Life insurance.** * ### **Private pension plan.** * ### **Gympass.** * ### **Discounted company stock purchase option.** * ### **Pharmacy discount*.** * ### **Childcare allowance*.** * ### **Partnership with language schools*.** * ### **Extended maternity and paternity leave.** * ### **Profit-sharing program (PPR)* + **As per current policy.** ### **Job Location:** **Preferably São Paulo/SP** **Brazil