Description:

Workana is the largest remote work platform for talents in Latin America, focusing on matching exceptional professionals with leading companies globally.
The client is redefining the AdTech landscape with an innovative platform that utilizes real-time, consumer-permissioned data to drive actionable outcomes.
As a Senior Data Engineer, you will advance the AdTech platform by designing and implementing scalable data solutions that process vast volumes of real-time data.
Responsibilities include building and optimizing data pipelines and ETL/ELT processes, leveraging GCP tools, designing robust data solutions, developing APIs, optimizing database performance, and monitoring data accuracy and security.
The role is ideal for engineers passionate about data engineering and advertising technology, who enjoy solving complex challenges in a mission-driven environment.

Requirements:

You must have 6+ years of experience in data engineering or related roles, preferably within the AdTech industry.
Expertise in SQL and experience with relational databases such as BigQuery and SpannerDB or similar is required.
You should have experience with GCP services, including Dataflow, Pub/Sub, and Cloud Storage.
Experience in building and optimizing ETL/ELT pipelines for audience segmentation and analytics use cases is necessary.
Familiarity with Docker and Kubernetes for containerization and orchestration is required.
You should have knowledge of message queues or event-streaming tools, such as Kafka or Pub/Sub.
A solid understanding of data modeling, schema design, and query optimization for performance at scale is essential.
Programming experience in languages like Python, Go, or Java for data engineering tasks is required.

The position offers compensation in USD.
It allows for fully remote work.
You will work on a challenging project that is one of the first of its kind in the region.
There are significant growth and learning opportunities available.