Senior Software Engineer – ETL Automation Testing, Spark/Java | Mastercard | Pune, Maharashtra, India

Senior Software Engineer – ETL Automation Testing, Spark/Java | Mastercard | Pune, Maharashtra, India
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Position: Senior Software Engineer – ETL Automation Testing, Spark/Java

Location: Pune, Maharashtra, India

Company Description

We are seeking a skilled, experienced and passionate Senior SDET to join our team specialising in Data Engineering and Data Warehouse applications. As a Senior SDET, you will play a crucial role in ensuring the quality and reliability of our data-driven software solutions.

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Job Description

  • Design, develop, and maintain automated test frameworks, tools, and test cases for Data Engineering and Data Warehouse – applications.-
  • Collaborate w- ith cross-functional teams, including software developers, data engineers, and data analysts, to ensure – comprehensive- testing coverage and adherence to quality standards.-
  • Conduct thoro- ugh testing of data pipelines, ETL processes, and dat- a transformations using Big Data technologies such – as Spark, – Hive, and Imp- ala.-
  • Apply your ex- pert- ise in Data Warehouse methodologies and best practices to validate the accuracy, completeness, and – performance of ou- r data storage and retrieval systems.-
  • Identify, document, and track software defects, working closely with the development team to ensure timely resolution.
  • Participate in code reviews, design discussions, and quality assurance meetings to provide valuable insights and contribute to the overall improvement of our software products.

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Qualification and Skills

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Strong programming skills in Java. Proficiency in other languages such as Python is a plus.
  • Extensive experience 6-9 yrs in dev/testing Data Engineering and Data Warehouse applications.
  • In-depth knowledge and hands-on experience with Big Data technologies like Spark, Hive, and Impala.
  • Thorough understanding of Data Warehouse methodologies, applications, and processes.
  • Excellent problem-solving and debugging skills, with a keen eye for detail.
  • Strong communication and collaboration skills to work effectively in a team-oriented environment.
  • Experience with version control systems, continuous integration, and test automation frameworks is highly desirable.
  • Hands-on experience with Apache NiFi is a plus.
  • Experience with ETL (Extract, Transform, Load) tools is required, with a strong understanding of data integration and data transformation processes. (Informatica/Talend/Data Stage)
  • Familiarity with data ingestion, data cleansing, data validation, and data enrichment techniques within ETL processes.
  • Understanding of parallel processing and performance optimization techniques in ETL workflows.
  • Ability to work with various data formats and sources, including structured, semi-structured, and unstructured data.
  • Experience in working with large-scale data sets and distributed data processing frameworks is a plus (e.g., Hadoop, Spark).

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