Data Engineer AWS | Python, SQL, Redshift & Data Lake

Infosys Limited; São Paulo; On-site; BRL 180,000 - 300,000; Full time

Benefits offered by this job

Life insurance

Funeral assistance

Medical insurance

Exposure to both national and intl.项目

Job summary

Infosys Brasil is seeking a Senior AWS Data Engineer to design and implement scalable data pipelines on AWS, leveraging Python, SQL, Redshift and Data Lake solutions.

You will build ETL/ELT processes, ensure data quality and governance, and collaborate with analysts, architects and clients on global projects. Advanced English is required, with opportunities to work with international teams.

Qualifications

• Strong experience in Data Engineering within AWS environments.
• Hands-on experience with S3, Redshift, Lambda, and Step Functions.
• Proven expertise in designing, developing, and maintaining scalable ETL/ELT data pipelines.
• Strong proficiency in Python for data processing and automation.
• 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 with Medallion Architecture (Bronze, Silver, Gold).
• Advanced English communication skills for global collaboration.
• Ability to work independently and interact with clients and cross-functional teams.

Responsibilities

• Design, develop, and optimize data pipelines within AWS environments.
• Build and maintain data ingestion processes from APIs and various data sources.
• Transform, process, and deliver data for analytical consumption using Redshift.
• Ensure data quality, integrity, availability, and governance across the data lifecycle.
• Develop monitoring, alerting, and error-handling mechanisms for pipelines.
• Optimize storage, query performance, and processing efficiency across Data Lake and DW.
• Collaborate with Data Analysts, Data Scientists, Architects, and stakeholders.
• Create and maintain technical documentation for data models and pipelines.
• Lead technical discussions with clients and global teams for successful delivery.

Skills

AWS Data Engineer

Python

SQL

Amazon Redshift

Data Lake

REST APIs

JSON

Data Modeling

Medallion Architecture

English Proficiency

Tools

AWS Glue

Amazon Athena

Amazon EMR

Terraform

CloudFormation

Job description

Others (Please specify in the Requisition notes)

Domain

Delivery

Interest Group

Company

INFOSYS TECNOLOGIA DO BR

Requisition ID

154627BR

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.

Employment Type

• Life insurance.
• Funeral assistance.
• Medical insurance.
• 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.
  

Additional Required Qualifications

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About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.