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Hybrid ETL Tester na Capco poland

Capco poland ·  India - Bengaluru, Índia · Hybrid

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                                                                                            ETL Tester

Key Responsibilities:

  • Extensive experience in validating ETL processes, ensuring accurate data extraction, transformation, and loading across multiple environments.
  • Proficient in Java programming, with the ability to understand and write Java code when required.
  • Advanced skills in SQL for data validation, querying databases, and ensuring data consistency and integrity throughout the ETL process.
  • Expertise in utilizing Unix commands to manage test environments, handle file systems, and execute system-level tasks.
  • Proficient in creating shell scripts to automate testing processes, enhancing productivity and reducing manual intervention.
  • Ensuring that data transformations and loads are accurate, with strong attention to identifying and resolving discrepancies in the ETL process.
  • Focused on automating repetitive tasks and optimizing testing workflows to increase overall testing efficiency.
  • Write and execute automated test scripts using Java to ensure the quality and functionality of ETL solutions.
  • Utilize Unix commands and shell scripting to automate repetitive tasks and manage system processes.
  • Collaborate with cross-functional teams, including data engineers, developers, and business analysts, to ensure the ETL processes meet business requirements.
  • Ensure that data transformations, integrations, and pipelines are robust, secure, and efficient.
  • Troubleshoot data discrepancies and perform root cause analysis for failed data loads.
  • Create comprehensive test cases, execute them, and document test results for all data flows.
  • Actively participate in the continuous improvement of ETL testing processes and methodologies.
  • Experience with version control systems (e.g., Git) and integrating testing into CI/CD pipelines.

    Tools & Technologies (Good to Have):
  • Experience with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, and Spark for handling large-scale data processing and storage.
  • Knowledge of NiFi for automating data flows, transforming data, and integrating different systems seamlessly.
  • Experience with tools like Postman, SoapUI, or RestAssured to validate REST and SOAP APIs, ensuring correct data exchange and handling of errors.

 

 

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