SDET Engineers

Company:  Photon
Location: Jersey City
Closing Date: 03/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us.


Job Title: SDET Engineers

Location: Jersey City, NJ - Onsite from day-1


Only for Fulltime on W2

Responsibilities:

  • We are seeking a highly skilled and detail-oriented Software Development Engineer in Test (SDET) to join our team with a focus on data reconciliation, complex SQL, and ETL testing. The ideal candidate will have a unique blend of skills in software development, quality assurance, and data engineering.
  • You will be responsible for ensuring data accuracy, validating ETL processes, and building automation frameworks for data-related testing processes.
  • This is a key role to ensure the integrity and quality of our data infrastructure and analytics platforms.

Key Responsibilities:

Complex SQL Queries:

  • Write and optimize complex SQL queries to validate data pipelines, transformations, and reporting accuracy.
  • Perform root cause analysis of data discrepancies and provide insights into data quality issues.
  • Develop automated SQL scripts to streamline data validation and reconciliation processes.

ETL Testing:

  • Validate ETL processes by designing comprehensive test strategies to ensure data accuracy and completeness.
  • Test and verify ETL pipelines from various data sources (structured and unstructured) into data warehouses, ensuring data conforms to business rules and logic.
  • Implement automated ETL testing frameworks and continuously improve them to optimize the data validation process.

Data Reconciliation:

  • Develop, implement, and automate test scripts to validate data integrity between source and target systems.
  • Identify and resolve data inconsistencies, mismatches, and errors in large datasets.
  • Design and execute reconciliation processes to ensure accurate data migration and transformation.

Nice to have:

  • Experience with HiveQL for Hive Database
  • Experience with Python as a scripting language
Apply Now
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