Senior Data QA Engineer

Parser; Norte; A distancia; COP 233.054.000 - 388.425.000; Jornada completa

Descripción de la vacante

A leading technology organization is seeking a Senior Data QA Engineer to ensure data reliability and lead data test strategies. The ideal candidate has expertise in Python, SQL, and AWS, along with a proven track record in delivering high-quality software. This role provides a flexible remote work environment and the chance to join a multicultural community focused on innovation.

Servicios

Flexible working environment

Multicultural community

Opportunity for growth

Formación

• Proven track record of delivering high-quality software products.
• Strong communication and presentation skills.
• Ability to drive change across the organization.

Responsabilidades

• Ensure that data is reliable for data consumers.
• Lead the design and implementation of data test strategies.
• Debug data quality issues and provide solutions.

Conocimientos

Python

SQL

AWS

dbt

DevOps practices

test automation tools

Herramientas

Git

Apache Airflow

Snowflake

Postgres

Descripción del empleo

Senior Data QA Engineer - LATAM

This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

Responsibilities

• Ensure that data is reliable for data consumers.
• Lead the design and implementation of data test strategies and plans.
• Conduct code reviews and provide feedback on data quality.
• Debug data quality issues, identify the root cause, and provide
  solutions to data engineers.
• Develop and maintain automated test frameworks using dbt and
  Python data quality libraries.
• Drive the adoption of best practices and continuous improvement in
  QA processes.
• Subject matter expert in assigned projects that involve financial
  information.
• Promote best practices for data quality across team members.

Technology stack

• Expertise in Python and SQL (including Snowflake and Postgres).
• Proficient in dbt to create data models, understand data
  transformations, implement data tests, and identify data quality
  issues.
• Strong knowledge in AWS: S3, DynamoDB, Glue, and Lambda.
• Strong knowledge of AWS CI/CD pipelines and DevOps practices.
• Strong knowledge of test automation tools and frameworks.
• Experience with Copilot Studio is a plus for implementing data
  tests and reducing manual tasks to expedite data quality reports.
• Familiarity with Apache Airflow to understand data ETL workflows.
• Familiarity with source/version control tools, such as Git.

What you'll bring to us

• Excellent decision-making and problem-solving skills.
• Strong communication and presentation skills.
• Ability to influence and drive change across the organization.
• Proven track record of delivering high-quality software products.
• Coordinate solutions across teams to deliver a final product.
• Provide guidance on implementing QA standards and best
  practices.
• Demonstrate the ability to comprehend complex environments and
  maintain a continuous desire to learn.

Some of the benefits you’ll enjoy working with us

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to form part of an amazing, multicultural community of tech experts.
• A flexible and remote working environment.

Come and join our #ParserCommunity.

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