Senior Data Quality Engineer - Remote & Flexible

BairesDev; Chile; Teletrabalho; CLP 117 878 000 - 176 817 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% remote work

USD or local currency salary

Hardware and software setup

Flexible hours

Paid parental leaves, vacations, and U

Global, multicultural team

Resumo da oferta

BairesDev is hiring a Senior Data Quality Engineer to design and implement automated data quality validation for our Databricks lakehouse pipelines. You will create robust guardrails to catch data quality issues early, ensuring reliable data products and trusted analytics across projects.

You will work on schema drift detection, completeness SLAs, and regression testing using Great Expectations or Deequ-style frameworks, all while operating in a fully remote environment with flexible hours and

Qualificações

• 5+ years of experience in data quality engineering.
• Strong experience with data quality automation in a Databricks lakehouse environment.
• Proven experience building automated DQ validation for pipelines and data products.
• Experience with schema drift detection.
• Background implementing completeness SLAs.
• Experience with regression testing using Great Expectations or Deequ-style frameworks.
• Advanced proficiency in English.

Responsabilidades

• Build automated data quality validation for pipelines and data products in Databricks.
• Detect schema drift across evolving data pipelines.
• Enforce completeness SLAs across critical data products.
• Implement regression testing using frameworks such as Great Expectations or Deequ.

Conhecimentos

Data quality engineering

Databricks

Great Expectations

Deequ

Schema drift detection

SLAs

Regression testing

English proficiency

Ferramentas

Databricks

Great Expectations

Deequ

Descrição da oferta de emprego

BairesDev is hiring a Senior Data Quality Engineer to design and implement automated data quality validation for our Databricks lakehouse pipelines. You will create robust guardrails to catch data quality issues early, ensuring reliable data products and trusted analytics across projects.

You will work on schema drift detection, completeness SLAs, and regression testing using Great Expectations or Deequ-style frameworks, all while operating in a fully remote environment with flexible hours and