Offer summary

Qualifications:

At least 5 years of experience in data engineering or software engineering., Strong proficiency in SQL, Python, and relational datastores., Experience with building and maintaining data pipelines and DAG tooling., Familiarity with cloud-based infrastructure for data pipelines is a plus..

Key responsabilities:

Work alongside app developers and data stakeholders to create data system changes.

Build and maintain data pipelines and DAG tooling.

Establish and maintain a data catalog with business-related metadata.

Participate in technical presentations, discussions, and incident reviews.

Job description

Seeking to hire a Contractor based out of Mexico or Argentina for Senior-Level Data Engineering Services.

Scope of Services:

As a Contractor you will work alongside app developers and data stakeholders to create data system changes and to respond to data inquires
You will contribute to initiatives and assist in problem definition scoping, design, and planning through epics and blueprints.
Utilize your domain knowledge to develop documentation, participate in technical presentations, discussions, and incident reviews.
You will build and maintain data pipelines and DAG tooling
You will establish and maintain a data catalog with business-related metadata

Skills & Experience:

At least 5 years of experience in data engineering, software engineering, or a related field.
Strong proficiency in SQL, Python, and relational datastores (columnar and row databases)
Proficiency in building and maintaining data pipelines and DAG tooling (Dagster, Airflow, etc)
Experience with event-based pipelines and CDC tooling.
Experience in managing data migrations in relational datastores.
Experience in optimizing SQL query performance.
Experience with data testing strategies to ensure resulting datastores align with expected business logic
Experience with DBT orchestration and best practices
Experience with enabling monitoring, health checks and alerting on data systems and pipelines
Experience establishing and maintaining a data catalog with business-related metadata
Experience building tools and automation to run data infrastructure
Experience with writing and maintaining cloud-based infrastructure for data pipelines (AWS, GCP and Terraform) is a plus
Experience in document, graph or schema-less datastores is a plus