Data Engineer AWS | Python, SQL, Redshift & Data Lake
Infosys · São Paulo, SP, BR
Infosys Brazil is looking for professionals with a Senior AWS Data Engineer \| Python, SQL, Redshift \& Data Lake profile to join our team. Required Qualifications * Strong experience in Data Engineering within AWS environments. * Hands\-on experience with Amazon S3, Amazon Redshift, AWS Lambda, and AWS Step Functions. * Proven expertise in designing, developing, and maintaining scalable ETL/ELT data pipelines. * Strong proficiency in Python for data processing, automation, and application development. * Advanced SQL skills and solid understanding of Data Warehouse concepts. * Experience integrating data from REST APIs and JSON\-based services. * Strong knowledge of data modeling and analytical schema design. * Experience working with Medallion Architecture (Bronze, Silver, and Gold layers). * Advanced English communication skills, with the ability to collaborate effectively in a global environment. * Ability to work independently and interact directly with clients and cross\-functional teams. **Preferred Qualifications** ---------------------------- * Experience with AWS Glue, Amazon Athena, and Amazon EMR. * Knowledge of data quality, monitoring, and observability tools. * Experience with event\-driven architectures. * Hands\-on experience with streaming data pipelines using Kafka or Amazon Kinesis. * Knowledge of CI/CD practices for data workflows and data platforms. * Experience with Infrastructure as Code (Terraform or AWS CloudFormation). * Experience delivering enterprise Analytics and Data Lake solutions. **Roles and Responsibilities** ------------------------------ * Design, develop, and optimize data pipelines within AWS environments. * Build and maintain data ingestion processes from APIs and various internal and external data sources. * Transform, process, and deliver data for analytical consumption using Amazon Redshift. * Ensure data quality, integrity, availability, and governance across the entire data lifecycle. * Develop monitoring, alerting, and error\-handling mechanisms for data pipelines. * Optimize storage, query performance, and processing efficiency across Data Lake and Data Warehouse platforms. * Collaborate closely with Data Analysts, Data Scientists, Architects, and business stakeholders. * Create and maintain technical documentation for data models, integrations, and pipeline processes. * Lead technical discussions with clients and global teams, ensuring successful delivery of data solutions. **Additional Information** -------------------------- ### **Employment Type** * Full\-time, permanent position (CLT). * Flexible working hours. ### **Benefits** * Transportation allowance. * Meal voucher. * Childcare assistance. * Life insurance. * Funeral assistance. * Medical insurance. * Dental insurance. ### **Career Opportunities** * Exposure to both national and international projects. * Opportunity to work with global clients and multicultural teams. * Potential for international career mobility within Infosys. ### **Language Requirements** * Advanced English proficiency for collaboration with international stakeholders and global teams.