Encora
SeniorSDET–DataQualityEngineering
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optimal for Senior candidates.
“Senior SDET – Data Quality Engineering at Encora. Skills: Data Quality, SQL, Python, ETL/ELT Testing. Own data quality strategy. Design testing for ETL/ELT pipelines”
What They're Looking For.
Must Have
8+ years of experience in Data Quality Engineering, SDET, or Quality Engineering roles, hands-on experience with SQL, Python, dbt, Databricks, and Snowflake, Expertise in data warehousing concepts and ETL/ELT pipeline validation, Proven experience building automated data testing frameworks and end-to-end testing solutions, knowledge of CI/CD pipelines, Git, and modern testing strategies, Experience validating large-scale data pipelines, warehouses, and datasets for quality, accuracy, and performance, Experience contributing to data quality best practices, testing strategies, and enterprise data environments, Mandatory experience in insurance or financial services domains (claims, policies, underwriting, regulatory reporting), communication, stakeholder management, and collaboration skills, Ability to work autonomously in complex environments with attention to data accuracy and quality
Nice to Have
Experience with cloud platforms such as AWS or Azure, Familiarity with data governance, observability, and data modernization initiatives, Experience supporting data migration or enterprise modernization projects, Exposure to BI tools such as Power BI or Tableau for validation and reporting context, Experience mentoring teams, reviewing testing strategies, and defining QE best practices
What You'll Do.
Own data quality strategy
Design testing for ETL/ELT pipelines
Build automated testing frameworks
Improve data quality standards
Support reliable decision-making
How You'll Work.
Team & Collaboration
Collaborate with engineering teams; Collaborate with analytics teams; Collaborate with business teams; Stakeholder management
Communication Scope
Communication skills
Full Job Description
Job Title: Senior SDET – Data Quality Engineering Key Skills: SQL, Python, dbt, Databricks, Snowflake, ETL/ELT Testing, Data Quality, CI/CD, Git, Test Automation, Data Warehousing, Insurance Domain Experience: 8+ YOE. Location: Costa Rica Mode: Remote English Level: B2+/C1 We at Coforge are hiring Senior SDET – Data Quality Engineering (#21503) with the following skill set. Key Responsibilities Own and drive the data quality strategy across enterprise data platforms. Design and implement testing for ETL/ELT pipelines, including validation, reconciliation, and regression testing. Build and maintain automated testing frameworks to ensure data accuracy, reliability, and performance. Collaborate with engineering, analytics, and business teams to improve data quality standards and support reliable decision-making. Required Skills & Qualifications 8+ years of experience in Data Quality Engineering, SDET, or Quality Engineering roles. Strong hands-on experience with SQL, Python, dbt, Databricks, and Snowflake. Expertise in data warehousing concepts and ETL/ELT pipeline validation. Proven experience building automated data testing frameworks and end-to-end testing solutions. Strong knowledge of CI/CD pipelines, Git, and modern testing strategies. Experience validating large-scale data pipelines, warehouses, and datasets for quality, accuracy, and performance. Experience contributing to data quality best practices, testing strategies, and enterprise data environments. Mandatory experience in insurance or financial services domains (claims, policies, underwriting, regulatory reporting). Strong communication, stakeholder management, and collaboration skills. Ability to work autonomously in complex environments with strong attention to data accuracy and quality. Preferred Skills: Experience with cloud platforms such as AWS or Azure. Familiarity with data governance, observability, and data modernization initiatives. Experience supporting data migration or enterprise modernizati
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