Senior Data Engineer

Breakthrough Talent; Diadema; Híbrido; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

A prominent data consulting firm in Brazil seeks a Senior Data Engineer to develop and maintain a new data platform. This role involves designing data infrastructure, implementing AWS services, and collaborating with teams on data processing. Ideal candidates have six years of experience in data engineering, strong skills in AWS and coding in Python and SQL. You'll be crucial in ensuring robust data governance and implementing scalable solutions in a dynamic environment.

Qualificações

• Six years or more experience in Data Engineering or Data Infrastructure role.
• Strong experience building data architectures in AWS.
• Solid coding skills in Python and SQL, Golang.
• Strong Cloud Formation knowledge.

Responsabilidades

• Design, build, and maintain core data infrastructure.
• Build and maintain cloud-based infrastructure using Cloud Formation.
• Design and implement data processing environments with AWS services.
• Monitor performance, cost, and security of the data platform.

Conhecimentos

Data Architectures in AWS

Python

SQL

Golang

Cloud Formation

Data Governance

Agile Practices

Problem Solving

Ferramentas

AWS Glue

AWS EMR

AWS Sagemaker

AWS Redshift

AWS Aurora

Snowflake

Apache Airflow

GitLab

Descrição da oferta de emprego

Senior Data Engineers

Breakthrough Talent is currently supporting a leading data business build a brand new data platform to support a modern data mesh organisation. They work with national and global clients across data, software and digital consulting, and they are now looking for a Data Infrastructure Engineer to help build and scale their next generation platform.

This role suits someone who enjoys owning infrastructure, building reusable solutions, and supporting data teams with analytics and AI ready environments.

The Role

As a Data Engineer you will design, build and maintain the core infrastructure that enables data processing, analytics, data science and data management across the business.

You will work in a multi account and multi region AWS environment that follows zero trust and least privilege principles. Infrastructure as Code and CI CD will be central to how you operate, alongside continuous improvement and strong governance.

What You Will Do

• Build and maintain cloud based infrastructure using Cloud Formation and SAM
• Design and implement data processing environments using AWS services such as Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake
• Build data processing pipelines using Python, SQL, PySpark, Spark, Lambda, Step Functions and Apache Airflow
• Monitor performance, cost and security of the data platform
• Apply strong data governance and access control for sensitive data
• Collaborate with multiple teams to support the wider data platform strategy

What You Need

• Six years or more experience in a Data Engineering or Data Infrastructure role
• Strong experience building data architectures in AWS
• Solid coding skills in Python and SQL, Golang
• Strong Cloud Formation knowledge
• Experience working with relational databases such as Postgres or Redshift
• Good coding discipline including documentation, unit testing and version control
• Experience with Git and CI CD tools such as GitLab
• Worked in Agile teams and ceremonies
• Strong problem solving skills and excellent communication

Nice to Have

• Experience with Jira or similar project management tools
• Experience with Snowflake
• Spatial data processing experience

If you would like to learn more about the role, please reach out to Jake Denman at Breakthrough Talent.