Data Transformation Specialist

2 days ago

Sahiwal, Punjab, Pakistan beBeeDataEngineer Full time 1,500,000 - 2,500,000
Data Engineering Role

We are driving a comprehensive data transformation initiative to ensure accurate and consistent data availability, precisely when and where it's needed.

Key Responsibilities:

  • Data Pipeline Validation: Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations.
  • Data Quality Assurance: Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.
  • Test Strategy Development: Formulate and maintain test strategies—including smoke, performance, functional, and regression testing—to ensure data processing and ETL jobs meet requirements.
  • Collaboration and Communication: Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity. Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.

Requirements:

  • Education: Bachelor's degree in computer science or related discipline.
  • Experience: 3-6 years of hands-on experience in Data Engineering, particularly in Data Lake environments on Azure's cloud platform.
  • Technical Skills: Proficient in Azure Data Factory, Azure Synapse Analytics, Databricks, SQL, and PySpark.
  • Methodologies: Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.

About Us

  • We have an amazing team of professionals working on highly innovative enterprise projects & products.
  • Our customer base includes leading retail and CPG companies, store chains, fintech, and Silicon Valley startups.
  • We are certified by major international standards bodies.

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