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Principal Software Development Engineer in Test

Solera Holdings, LLC.
Hyderabad, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
PythonSQLTest automation framework designData platform testingETL optimization and validationData architecture
Free

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PythonSQLTest automation framework design
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About Solera

Solera provides data and software services for connected digital experiences across vehicle, home, and digital identity assets.

The company processes digital transactions for partners and customers across more than 90 countries.

Role Overview

Lead the design, development, and delivery of automation test frameworks for a next-generation software platform.

Provide technical automation leadership within the Software QA team.

Test N-Tier application services and data platforms in an Agile development environment.

Responsibilities

  • Define end-to-end quality strategy for data platforms and engineering systems.
  • Architect automation frameworks for batch, streaming, API, and UI validation.
  • Establish data quality governance, validation standards, and KPIs.
  • Design reconciliation, integrity, and observability validation.
  • Lead testing for data migrations and cloud transformation initiatives.
  • Integrate quality gates into CI/CD and DevOps pipelines.
  • Drive performance, reliability, and security validation.
  • Mentor QA engineers and collaborate on data mesh and lakehouse validation.
  • Evaluate AI-driven testing and automation accelerators.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 8–12+ years of Quality Engineering experience with a strong data or platform focus.
  • At least 2 years in technical leadership or quality ownership.
  • Strong understanding of data architecture, ETL optimization, and pipeline validation.
  • Experience leading quality initiatives in cloud-based ecosystems.
  • Exposure to data governance, compliance, and security validation.

Technical and Leadership Skills

  • Advanced Python and expert-level SQL are required.
  • Snowflake is preferred; Redshift and BigQuery are listed as data testing platforms.
  • Spark exposure and Kafka streaming validation are required technical areas.
  • AWS, Azure, or GCP cloud experience is relevant.
  • Experience with automation framework design, CI/CD, DevOps, performance validation, and data orchestration is relevant.
  • Leadership skills include test architecture, KPI governance, mentoring, strategic thinking, innovation, and executive stakeholder communication.

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