Data QA Analyst

Y-Axis; Santiago; Híbrido; CLP 18.000.000 - 32.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning opportunities

Travel opportunities

Mentoring and development

Celebrations & support

Company-provided equipment

Flexible working options

Descripción de la vacante

Blend is seeking a Data QA Analyst to join our data platform team. The role focuses on ensuring data quality, reliability, and consistency across Azure and Databricks-based pipelines.

You will validate pipelines, implement automated checks, and collaborate with Data Engineering and business teams to produce accurate, production-ready data assets. Responsibilities include building a data quality framework, validating end-to-end data flows, and supporting client UAT.

Formación

• Experience with Azure-based data platforms and Databricks.
• Strong SQL skills and experience analyzing large datasets.
• Experience validating ETL/ELT processes and working with layered architectures (Bronze, Silver, Gold).
• Knowledge of data quality frameworks and testing methodologies.

Responsabilidades

• Design and implement a data quality framework across Bronze, Silver, and Gold layers.
• Validate data pipelines and perform end-to-end testing.
• Collaborate with Data Engineers and stakeholders to ensure production-ready data assets.
• Support UAT with client business stakeholders and document QA processes.

Conocimientos

Azure

Databricks

SQL

Data Quality Frameworks

ETL/ELT Validation

Data Pipeline Testing

Automated Data Validation

Reconciliation

Identity Resolution

UAT Support

Analytical Thinking

Technical Documentation

Herramientas

Databricks

Azure

Descripción del empleo

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

0.0

Posted On

09 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Azure, Databricks, SQL, Data Quality Frameworks, ETL/ELT Validation, Data Pipeline Testing, Automated Data Validation, Reconciliation, Identity Resolution, UAT Support, Analytical Thinking, Technical Documentation

Professional Services

Description Company DescriptionBlend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.comWe are seeking a Data QA Analyst to contribute to our next level of growth and expansion.

Job Description

Job DescriptionWhat is this position about?We are looking for a Data QA Analyst with experience in Azure and Databricks to ensure data quality, reliability, and consistency across modern data platforms. This role focuses on validating data pipelines, implementing automated quality checks, and collaborating closely with Data Engineering and business teams to guarantee accurate and production-ready data assets.Design and implement a data quality framework across Bronze, Silver, and Gold layers - defining validation rules, threshold tolerances, and alerting standardsBuild and maintain automated data quality checks within Databricks pipelines - row counts, null checks, referential integrity, schema validation, and business rule assertionsOwn reconciliation between source systems and Databricks layers - ensuring source data lands accurately and transformations produce expected outputsValidate identity resolution outputs in the Silver layer - reviewing match rates, investigating false positives and false negatives, and ensuring enterprise identifiers are being assigned correctly across source populationsPerform end-to-end pipeline testing - validating that data flows correctly from ingestion through to the Gold layer and that downstream reporting outputs reflect accurate dataPartner with Data Engineers to define acceptance criteria for each sprint’s pipeline and data model deliverables before they are promoted to productionSupport UAT with client business stakeholders - helping them validate that Gold layer outputs meet their reporting requirementsDocument all QA processes, test results, and data quality findings in a format that can be handed off to the client team at engagement closeMonitor pipeline health post-deployment - investigating and triaging data quality incidents and working with engineers to resolve root causes quicklyQualificationsExperience working with Azure-based data platforms, including Databricks.Strong understanding of data quality frameworks and testing methodologies for data pipelines.Experience validating ETL/ELT processes and working with layered architectures (Bronze, Silver, Gold).Strong SQL skills and experience analyzing large datasets.Experience implementing automated data validation and reconciliation processes.Familiarity with data pipeline monitoring, alerting, and troubleshooting.Ability to collaborate with Data Engineers and business stakeholders.Strong analytical thinking and attention to detail.Experience documenting QA processes and results in a structured manner.What about languages?English: Advanced (required for effective communication with global teams).How much experience must I have?1+ years of experience in Data Quality, Data Engineering, or Data Analysis roles.Additional Information

Perks and Benefits:

• Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and Development: Career development plans and mentorship programs to help shape your path.
• Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
• Company-provided equipment.
• Flexible working options to help you strike the right balance.
• Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

Responsibilities

Responsibilities Design and implement a data quality framework across Bronze, Silver, and Gold layers to ensure data reliability and consistency. Validate data pipelines, perform end-to-end testing, and collaborate with engineers and stakeholders to ensure production-ready data assets.