ETL Testing

1 day ago

Bengaluru, Karnataka, India Akshya Patra Services Full time ₹ 5,00,000 - ₹ 15,00,000 per year
Job Title: Quality Engineer - Data (ETL Testing) Experience: 1-4 years Immediate Joiners PreferredJob Description: We are seeking a highly skilled and motivated Quality Engineer specializing in Data Testing with expertise in ETL processes, SQL, NoSQL, Python, PySpark, and Azure. The ideal candidate will have a strong understanding of data management, software testing methodologies, and data engineering principles, along with the ability to ensure the accuracy and quality of data across various platforms.Key Responsibilities:
  • Data Management:
  • Strong understanding of data management principles.
  • Proficiency in working with different types of databases (SQL, NoSQL) and data formats (CSV, JSON, XML).
  • ETL (Extract, Transform, Load):
  • Experience with ETL processes to extract data from various sources, transform it according to business rules, and load it into target systems.
  • Knowledge of ETL tools is beneficial.
  • Programming Skills:
  • Proficiency in programming languages commonly used in data engineering such as Python, Java, or Scala with Spark.
  • Knowledge of scripting languages like Bash or PowerShell for automation tasks.
  • SQL:
  • Strong SQL skills for querying and manipulating data in relational databases.
  • Ability to write complex SQL queries, optimize query performance, and understand database indexing.
  • Testing Principles:
  • Understanding of software testing principles and methodologies (e.g., Agile, Scrum).
  • Experience in test planning, test case design, and test execution strategies.
  • Data Visualization:
  • Ability to visualize data using tools such as Tableau, Power BI, or matplotlib in Python.
  • Present test results and insights clearly to stakeholders.
  • Version Control Systems:
  • Proficiency in using version control systems like Git for managing code and test data artifacts.
  • Knowledge of branching strategies and collaborative development workflows.
  • Automation Tools:
  • Experience with automation tools and frameworks for test data provisioning and management.
  • Familiarity with CI/CD pipelines for automated testing, preferably on Azure DevOps.
  • Knowledge of Azure Databricks utilizing Python and Spark.
  • Domain Knowledge:
  • Familiarity with the retail domain or industry to design relevant test scenarios and ensure data accuracy according to domain-specific requirements.
  • Communication and Collaboration:
  • Effective communication skills to collaborate with cross-functional teams including developers, QA engineers, and business stakeholders.
  • Ability to articulate technical concepts to non-technical audiences.
  • Problem-Solving Skills:
  • Strong analytical and problem-solving abilities to identify and resolve data-related issues efficiently.
  • Propose effective solutions to enhance data quality and streamline processes.
  • Test Management Tools:
  • Working knowledge of JIRA or similar test management tools.
Qualifications:
  • 1-4 years of relevant experience in data testing, ETL, or data engineering.
  • Strong proficiency in SQL, Python, NoSQL databases, and Azure technologies.
  • Knowledge of ETL tools, data visualization, automation frameworks, and CI/CD pipelines.
  • Experience with Azure Databricks and PySpark is a must.
  • Immediate joiners preferred.
Why Join Us:
  • Opportunity to work on cutting-edge technologies in data engineering and testing.
  • Collaborative environment with cross-functional teams.
  • Competitive compensation and benefits.

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