Data Engineer

Há 7 dias

Porto Alegre, Rio Grande do Sul, Brasil Ambush Tempo inteiro R$90.000 - R$120.000 por ano

Ambush is a People Company. But what does that mean exactly? It means we care about our people as much as we care about building great products. We take a human-centered approach to identifying, retaining and integrating highly-talented, long-term remote people into America's best product and development team.

We began our consulting journey in 2015 and have been growing ever since We do that by delivering the best quality work possible for our clients. We are not afraid to take risks and we always seek the best possible path to solve a problem, instead of just a quick makeshift solution. Thanks to our highly skilled team of engineers, we always perform tasks using our best abilities

We are passionate about what we do everyday and we can always count on our team to have our backs. Teamwork is one of our core values We don't go anywhere by ourselves. We are driven to achieve great things. And we are extremely helpful to everyone. We expect you to be a team player.

When you join us, you will:
Design, build, and maintain high-volume data ingestion pipelines to process merchant transactions.

Implement robust measures to guarantee data quality, reliability, and optimal pipeline performance.

Share your knowledge with a team of passionate engineers and help foster a culture of agile, data-driven decision-making.

Be responsible for your tasks and manage your time - we won't micromanage you.

Use your excellent English skills to communicate daily, both verbally and in writing, in cross-functional teams.

What we'd like to see in a candidate:
Professional experience as a Data Engineer specializing in designing and implementing solutions for high-volume, real-time, or batch data ingestion.

Experience with
Python
for building robust data pipelines.

Extensive experience with
Apache Spark
(Spark SQL, PySpark) to optimize and accelerate complex data processing jobs.

Strong understanding of the AWS ecosystem, with a focus on core data services like
S3 and Lambdas
.

Familiarity with
AWS Glue
as the primary engine for performing data processing and complex transformations.

Ability to act as a coach and leader, focusing on teaching and advocating for good engineering and collaboration practices.

Experience with Snowflake is a plus.

Excellent English communication.

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