Senior Data Engineer | PySpark and AWS

Description

Job Summary: Join us in a culture that encourages innovative ideas to flourish and make a significant impact on our clients' businesses and our communities. Key Highlights: 1. Work with cutting-edge technologies in cloud, security, data, and AI. 2. A culture that encourages innovative ideas and meaningful impact. 3. Combine technology and creativity in large-scale IT transformation programs. **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. **Driving 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 in more than 120 countries, we are committed to driving innovation every day and transforming the world into a better place for people. **Join us – Technology** We combine innovation, emerging technological capabilities, and deep industry knowledge to help clients innovate at scale, transform, and grow their businesses. Join a culture that encourages innovative ideas to flourish and make a significant impact on our clients’ businesses and our 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 or food allowance with no payroll deduction.** * ### **Life insurance.** * ### **Private pension plan.** * ### **Gympass.** * ### **Option to purchase company stock at a discount.** * ### **Pharmacy discount\*.** * ### **Childcare allowance\*.** * ### **Partnership with language schools\*.** * ### **Extended maternity and paternity leave.** * ### **Profit-sharing program (PPR)\*** + **Per current policy.** ### **Location:** **Preferably São Paulo/SP** **Brazil