SDET II

About this role

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Skills you'll use

What you'll do

• Every day, we seek to improve financial security for people. Joining our Information Technology Applications team means you will be a part of a passionate and supportive team that believes what we do matters to our clients and investors.
• Data Test Engineer works closely with data engineers, application developers, product owners, data stewards, analysts, and other stakeholders in an agile environment. In addition to defining, documenting, automating, and executing tests for enterprise data platforms and data-centric applications, they will be involved in sprint planning, daily scrum meetings, development validation, release readiness, and product deployment. They will contribute to both manual and automated test case creation and execution across data pipelines, services, APIs, database objects, reporting layers, data integrity controls, and applications that consume or manage enterprise data.
• Position Overview
• We are seeking a highly skilled Data Quality & Test Engineer II / SDET II to join our Quality Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust data testing and automation solutions, ensuring data quality across enterprise data platforms and related applications, and collaborating with cross-functional teams to deliver secure, reliable, and trusted data products.

Who can apply

• 4-7 years of experience in software testing, data testing, data validations, orchestration tools, and automation, with at least 2+ years focused on enterprise data platforms, data warehouses/lakehouses, ETL/ELT pipelines, or data-centric applications.
• Strong programming and scripting skills in Python and SQL; experience with C# or another object-oriented language is a plus.
• Hands-on experience building automated tests using frameworks such as PyTest, Behave, Robot Framework, Playwright, Selenium, or similar tools.
• Experience with API and service testing using tools such as Postman, RestAssured, Karate, or equivalent automation libraries.
• Solid understanding of CI/CD pipelines and version control tools such as Jenkins, TeamCity, GitHub, Azure DevOps, GitLab, or similar.
• Experience with test management and defect tracking tools such as JIRA, Zephyr, TestRail, or equivalent platforms.
• Advance SQL skills and hands-on experience validating data in relational databases, data warehouses, cloud data platforms (Preferred Snowflake), or data lake environments.
• Experience validating ETL/ELT pipelines, source-to-target mappings, schema changes, data lineage, data reconciliation, data completeness, accuracy, timeliness, and referential integrity.
• Strong analytical and problem-solving skills with high attention to detail and the ability to investigate complex data issues.
• Good to have experience with ETL tools, data quality, observability, or transformation tools such as dbt tests, fivetran, soda, ADF, airflow, astronomer, Databricks, Snowflake, or similar.

About RIIVIPL RIIV India

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