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 uses real-time, consumer-permissioned data to drive actionable outcomes.
As a Senior Data Engineer, you will advance the AdTech platform by enabling businesses to harness consumer-permissioned data for insights, audience activation, and performance measurement.
You will design and implement scalable data solutions that process and integrate 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, working with event-driven architectures, monitoring data accuracy, and driving innovation in audience targeting and measurement.

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 experience with message queues or event-streaming tools, such as Kafka or Pub/Sub.
Knowledge 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.

You will receive compensation in USD.
The position offers fully remote work.
You will work on a challenging project, one of the first of its kind in the region.
There are growth and learning opportunities available in this role.