Engenheiro de Dados - AWS at Jobgether

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Python, PySpark, SQL, AWS Glue, Apache Spark, Airflow, AWS S3, AWS Redshift, AWS Athena, AWS Lambda, Data Lake, Lakehouse, Data Warehouse, CI/CD, ETL Pipelines

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engenheiro de Dados - AWS in Brazil. This role is part of a global technology environment focused on delivering large-scale data solutions that power digital transformation for leading organizations. You will work at the core of modern data architecture, building and evolving pipelines, data lakes, and cloud-based platforms using AWS services. The position involves close collaboration with multidisciplinary teams to ensure data is reliable, accessible, and optimized for analytics and business decision-making. You will participate in architectural discussions and contribute to scalable, high-performance data ecosystems. The environment is highly collaborative, innovation-driven, and centered on cloud, data, and AI technologies. This is a great opportunity to impact enterprise-level solutions while working with cutting-edge data engineering practices. \n Accountabilities: Develop, maintain, and optimize end-to-end data pipelines, including ingestion, transformation, and integration across multiple sources and systems. Design and implement modern data architectures such as Data Lake, Lakehouse, and Data Warehouse solutions on AWS. Build and orchestrate scalable workflows using tools like AWS Glue, Apache Spark, Airflow, or equivalent technologies. Ensure data quality, consistency, security, and availability across all data platforms and processes. Participate in technical discussions and contribute to architectural decisions for cloud-based data solutions. Integrate data from APIs, streaming systems, messaging platforms, and relational/non-relational databases. Support version control, CI/CD pipelines, and automation practices within the data engineering lifecycle. Requirements: Solid hands-on experience with AWS data services such as S3, Glue, Redshift, Athena, Lambda, IAM, CloudWatch, and Step Functions. Strong knowledge of SQL, Python, and/or PySpark for data processing and analytical modeling. Experience building and managing data pipelines using modern orchestration tools (e.g., Airflow or similar). Deep understanding of modern data architectures including Data Lake, Lakehouse, and Data Warehouse concepts. Experience with data integration from APIs, event-driven systems, and heterogeneous data sources. Familiarity with CI/CD, version control, and automation in data engineering workflows. Strong analytical thinking, problem-solving skills, and attention to data quality and performance. (Differential) Experience with Lakehouse frameworks such as Delta Lake or Iceberg and cloud migration projects. Benefits: Medical assistance fully subsidized for employees and dependents. Dental assistance plan. Meal or food allowance with no salary deduction. Life insurance and private pension plan. Wellhub (Gympass) access for wellness and fitness support. Discounted company stock purchase program. Pharmacy discounts. Childcare assistance and extended parental leave. Language learning partnerships and development support. Performance bonus (PPR) according to company policy. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Develop and optimize end-to-end data pipelines and modern cloud architectures on AWS. Collaborate with multidisciplinary teams to ensure data reliability and accessibility for business decision-making.