Senior Data Engineer – AWS, Data Lake, Gold Layer

FCamara Consulting & Training

Senior Data Engineer developing and maintaining data pipelines in AWS Data Lake architecture for a major construction company in Latin America. Responsibilities include data processing, transformation, and quality assurance.

Posted 6/19/2026full-timeBelo Horizonte • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLSQL

About the role

Key responsibilities & impact

Build, evolve, and sustain data pipelines in an AWS Cloud environment.
Develop data ingestion, transformation, and delivery processes for analytical consumption.
Contribute to the construction and maintenance of the Data Lake Bronze, Silver, and especially Gold layers.
Ensure data quality, consistency, traceability, and reliability.
Implement and monitor data processing and integration routines.
Model relational and non-relational data structures according to business needs.
Optimize performance of queries, pipelines, and storage.
Support DataOps practices, CI/CD, and automation of data processes.
Work closely with business, analytics, and data governance teams to understand requirements.
Ensure adherence to security policies, LGPD (Brazilian data protection law), and corporate governance.
Document pipelines, data models, and technical workflows.

Requirements

What you’ll need

Experience with Data Lake architecture on AWS.
Experience building pipelines and delivering data to the Gold layer.
Knowledge of AWS data services (Glue, S3, Athena, Lambda, Redshift, EMR or similar).
Strong SQL skills.
Experience with ETL/ELT processes.
Knowledge of relational and non-relational data modeling.
Experience with code versioning (Git).
Experience with agile methodologies.
Knowledge of monitoring and data quality.

Benefits

Comp & perks

Differentials
- Knowledge of Python.
- Experience with Spark and the Big Data ecosystem.
- Knowledge of Terraform or Infrastructure as Code (IaC).
- Experience with CI/CD and DevOps applied to data.
- Knowledge of APIs and microservices.
- Experience with data observability and governance tools.
- Experience in high-volume data environments.
Soft Skills
- Analytical and problem-solving profile.
- Good communication and ability to interact with technical and business areas.
- Organizational skills and a sense of prioritization.
- Proactivity and autonomy.
- Ease of working in a team.
- Adaptability to dynamic and constantly evolving environments.
- Focus on quality and delivering value.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipelinesdata ingestiondata transformationdata deliverydata modelingSQLETLELTdata qualityperformance optimization

Soft Skills

collaborationcommunicationproblem-solvingattention to detailorganizational skills