
Senior Data Engineer
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in United States.
• Create, implement, and manage test plans, scenarios, and cases for enterprise data platforms, ETL/ELT pipelines, and data integration solutions.
• Conduct comprehensive ETL testing to ensure data accuracy, completeness, transformation logic, reconciliation, and data quality across both source and target systems.
• Design and execute intricate SQL queries for backend validation and data testing.
• Evaluate large-scale data processing solutions utilizing Databricks, Apache Spark, PySpark, Python, Hive, Hadoop/HDFS, and Azure Data Factory (ADF).
• Carry out functional, integration, regression, system, and data quality testing throughout data pipelines and applications.
• Confirm batch processing, job scheduling, dependencies, and workflow execution using Control M and Unix/Linux environments.
• Detect, document, track, and re-evaluate defects while collaborating with developers, data engineers, business analysts, and other stakeholders until resolution.
• Create and sustain reusable test scripts and automation solutions as applicable.
• Engage in Agile/Scrum activities, including sprint planning, refinement, daily stand-ups, reviews, and retrospectives.
• Over 8 years of experience in software quality engineering/testing.
• Extensive experience in ETL testing, data validation, integration testing, and regression testing.
• Proficient in SQL, including the ability to write complex queries for source-to-target validation, reconciliation, and data quality assessment.
• Experience with large-scale data platforms and ETL/ELT pipelines.
• Practical knowledge of Databricks, Apache Spark, PySpark, Python, and Azure Data Factory (ADF).
• Familiarity with the Hadoop ecosystem including Hadoop/HDFS and Hive.
• Experience in Unix/Linux environments and with enterprise job scheduling tools such as Control M.
• Strong comprehension of data quality concepts, data transformations, data mappings, and source-to-target validation.
• Knowledge of defect management and test management processes in Agile/Scrum delivery environments.
• Excellent analytical, troubleshooting, communication, and collaboration abilities.
• Capability to work remotely from any location within the USA.
• Successful completion of a background investigation is required.
• Competitive salary along with a profit participation program.
• Extensive medical, dental, and vision coverage.
• Basic life insurance and accidental death & dismemberment coverage.
• 401(k) plan with matching contributions.
• CGI share purchase plan.
• Flexible and paid accrued vacation leave, ranging from 10 to 20 days annually.
• 10 paid holidays each year.
• A minimum of 80 consecutive hours of paid sick/safe leave.
• Paid parental leave, spanning from 20 to 70 consecutive business days.
• Bereavement leave, varying from 1 to 7 days per year.
• Paid jury duty leave, covering the duration summoned.
• Opportunities for learning and tuition assistance.
• Wellness and well-being programs.
• Hybrid work model providing flexibility.
• Employee resource groups and community initiatives.
• Leadership mentoring and professional development opportunities.
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