Data Engineer, Mid/Senior

DOMVS iT

Data Engineer developing and optimizing cloud data solutions at DOMVS iT. Collaborate with teams to handle large data volumes and build efficient pipelines.

Posted 7/18/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing data pipelines using Python, with a strong focus on ETL/ELT processes and AWS services. Proficient in data modeling for Data Lakes and Data Warehouses, ensuring high performance and adherence to best practices.

Highest-signal resume keywords

Python DevelopmentETL/ELT ProcessesAWS ServicesAdvanced SQLData Pipeline Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingData TransformationVersion ControlCode Quality Standards

Soft Skills

CollaborationProblem Solving

Tools & Technologies

AWS S3AWS GlueAWS LambdaAWS AthenaAWS RedshiftAWS EMRAWS IAMAWS CloudWatchAWS Step FunctionsGit

Industry Keywords

Data EngineeringData LakeData WarehouseRelational DatabasesNoSQL Databases

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLNoSQLPythonSQL

About the role

Key responsibilities & impact

Develop, maintain and optimize data pipelines using Python.
Design, build and maintain ETL/ELT processes.
Develop integration solutions between different data sources.
Model and structure data for Data Lake and Data Warehouse.
Work on ingestion, transformation and provisioning of data in an AWS environment.
Monitor and optimize performance of data pipelines and data processes.
Implement data engineering best practices, version control and code quality standards.
Collaborate with Analytics, BI, Data Science and Development teams.
Participate in defining the architecture of cloud data solutions.
Support incident resolution and continuous improvement of the data platforms.

Requirements

What you’ll need

Experience as a Mid or Senior Data Engineer.
Development experience in Python.
Experience building data pipelines.
Knowledge of ETL/ELT processes.
Experience with relational databases and NoSQL databases.
Advanced SQL.
Experience with AWS services such as: S3, Glue, Lambda, Athena, Redshift, EMR, IAM, CloudWatch, Step Functions (preferred).
Knowledge of Data Lake concepts.
Experience with Git.

Benefits

Comp & perks

Meal allowance (Flash - R$ 900.00 monthly);
Bradesco Health and Dental Plan;
Specialization program (up to 30% of your postgraduate tuition for the first 12 monthly installments — available after 12 months of employment);
Language assistance;
Clude Saúde (medical consultation platform);
Birthday day off + gift;
TotalPass;
Udemy platform;
Paid referral bonus (R$1,000.00 for each hired referral);
Merit platform (exclusive DOMVS platform to receive and donate merits. Accumulated merits can be exchanged for vouchers for iFood, Outback, etc.).