Data Engineer (AWS) - Remote Work | REF#309389

BairesDev

Rio de Janeiro

Remote

BRL 502,000 - 725,000

Full time

11 hours ago
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Benefits offered by this job

Remote work
Competitive USD compensation
Hardware provided
Flexible hours
Parental leave

Job summary

BairesDev is seeking a Data Engineer (AWS) to design and maintain scalable data pipelines and ensure secure, high-performance data flows across the enterprise.

You will connect raw sources to analytics, build data warehouse architectures on Redshift and data lakes on S3, and automate infrastructure with Terraform or CloudFormation. This is a fully remote role with flexible hours and competitive USD compensation.

Qualifications

  • 4+ years of experience in Data Engineering or Cloud Engineering.
  • Proven expertise building data pipelines with AWS-native services like AWS Glue and Kinesis.
  • Proficiency in designing and optimizing data warehouses on Amazon Redshift.
  • Hands-on experience with Infrastructure as Code tools, specifically Terraform or CloudFormation.
  • Strong proficiency in SQL and Python for data transformation and automation.
  • Advanced proficiency in English.

Responsibilities

  • Design, build, and optimize scalable ETL/ELT pipelines using AWS Glue, Lambda, and Python.
  • Develop and maintain robust data warehouse architectures on Amazon Redshift and data lakes on S3.
  • Automate data workflows and infrastructure provisioning using Terraform or CloudFormation.
  • Implement data models and partitioning strategies to enhance query performance and cost-efficiency.
  • Ensure data quality and reliability through automated validation checks and monitoring.
  • Collaborate with stakeholders to translate business requirements into technical data solutions.

Skills

Data pipelines
Cloud engineering
SQL
Python
English
AWS

Tools

AWS Glue
Kinesis
Redshift
S3
Terraform
CloudFormation

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As a Data Engineer (AWS), you will design and maintain scalable, high-performance data pipelines using AWS-native services. You will serve as the technical link between raw data sources and analytical environments, ensuring that information flows efficiently and securely across the enterprise.

What You'll Do
  • Design, build, and optimize scalable ETL/ELT pipelines using AWS Glue, Lambda, and Python.
  • Develop and maintain robust data warehouse architectures on Amazon Redshift and data lakes on S3.
  • Automate data workflows and infrastructure provisioning using Terraform or CloudFormation.
  • Implement data models and partitioning strategies to enhance query performance and cost-efficiency.
  • Ensure data quality and reliability through automated validation checks and monitoring.
  • Collaborate with stakeholders to translate business requirements into technical data solutions.
What We Are Looking For
  • 4+ years of experience in Data Engineering or Cloud Engineering.
  • Proven expertise in building and managing data pipelines using AWS-native services like AWS Glue and Kinesis.
  • Proficiency in designing and optimizing data warehouses on Amazon Redshift.
  • Hands-on experience with Infrastructure as Code tools, specifically Terraform or CloudFormation.
  • Strong proficiency in SQL and Python for data transformation and automation.
  • Advanced proficiency in English.
How we do make your work (and your life) easier:
  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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