
Senior Data Transformation Specialist
22 hours ago
We're driving a significant data revolution to ensure precise, accurate information is always available where it's needed.
Key Responsibilities- Write and execute PySpark and SQL scripts to validate complex data pipelines, transformations, and integrations.
- Design and run thorough tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.
- Continuously enhance automated tests as new features are developed, ensuring data accuracy and integrity across the platform.
- Formulate and maintain comprehensive test strategies, including smoke, performance, functional, and regression testing, to ensure data processing and ETL jobs meet requirements.
- Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.
- Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.
- Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.
- Maintain a deep understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.
- Bachelor's degree in computer science or related discipline.
- 3-6 years of hands-on experience in Data Engineering, particularly in Data Lake environments on Azure's cloud platform.
- Proficient in Azure Data Factory, Azure Synapse Analytics, and Databricks for big data processing and scaled data quality checks.
- Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.
- Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.
- Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.
- Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.
Our team works on innovative projects and products. Our customer base includes leading retail and CPG companies, fast-growth fintech, and multiple Silicon Valley startups.
At our organization, we focus on processes and culture. We have a culture of learning via collaboration and making the workplace enjoyable.
To succeed at our organization, you must be comfortable working with cutting-edge technologies and contributing to our success while advancing your own career.
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