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Appzlogic Mobility - ETL Test Engineer - SQL / Azure Data Factory

Appzlogic Mobility - ETL Test Engineer - SQL / Azure Data Factory

Appzlogic Mobility solutions Pvt. Ltd.,NoidaGurugram
30+ days ago
Job description

Key Responsibilities :

  • ETL Testing & Validation : Lead the quality assurance process for our ETL (Extract, Transform, Load) pipelines.

You will be responsible for validating data accuracy and integrity between various sources and targets.

  • SQL & Data Warehouse Testing : Use your expertise in SQL Server Management Studio (SSMS) to write complex queries and validate data in relational databases and data warehouses.
  • Azure Data Stack Testing : Actively test and validate data processes built on the Azure Data Factory, Azure Databricks, and Azure Synapse platforms.
  • Pyspark Scripting & Review : Use Pyspark notebooks and scripts to analyze and validate data within Databricks, ensuring data transformations are working as expected.
  • Collaboration & Agile Methodology : Work closely with data engineers and business stakeholders in an Agile environment.

    • Use Jira for managing test cases, tracking defects, and reporting on progress.

  • Process Understanding : Leverage a strong understanding of ETL processes and transformations to design comprehensive test cases that cover all data flow scenarios.
  • Source & Target Expertise : Demonstrate experience working with a variety of data sources and targets, ensuring seamless and accurate data Skills & Experience :
  • Strong knowledge of and experience with SSIS (SQL Server Integration Services).
  • Proficiency in SQL and hands-on experience with SQL Server Management Studio (SSMS).
  • Hands-on testing experience with the Azure Data Factory and Azure Synapse.
  • Experience with Azure Databricks and working with Pyspark notebooks.
  • Strong understanding of Pyspark for data validation.
  • Practical experience working in an Agile environment.
  • Proficiency with Jira or similar project management tools.
  • A deep understanding of ETL processes and transformations.
  • Proven experience in validating data between various sources and targets.
  • Experience working with multiple data sources and targets

    • (ref : hirist.tech)

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