Big Data Tester (Immediate Joiner)

**ONLY FOR IMMEDIATE JOINERS**

Position:

Job Summary:

Big Data Tester

Key Responsibilities:

• Design and execute comprehensive test plans and test cases for Big Data applications and ETL processes.
  
• Validate large-scale datasets stored in

  HDFS

  using

  HiveQL

  and other query tools.
• Perform data validation, data comparison, and quality assurance on datasets coming from multiple sources.
  
• Conduct thorough

  ETL testing

  including data extraction, transformation, and loading into data lakes/warehouses.
• Write and execute

  complex SQL queries

  to validate data consistency and integrity.
• Collaborate with data engineers, business analysts, and other stakeholders to understand data requirements and business rules.
  
• Perform

  regression, integration, and system testing

  on big data solutions.
• Document defects clearly and follow through for timely resolution.
  
• Ensure compliance with data privacy and security regulations, especially relevant to

  healthcare data

  .

Required Skills:

• Big Data Testing

  : 4+ years of experience working with

  HDFS, Hive

  , and other Hadoop ecosystem tools.

• ETL Testing

  : 3+ years of hands-on experience in validating ETL pipelines.

• SQL

  : 3+ years of experience in writing complex SQL queries for data verification and analysis.

• Healthcare Domain

  : 2+ years of experience working in healthcare projects, with familiarity in HIPAA compliance and healthcare data formats (e.g., HL7, EDI X12, etc.).
• Strong analytical and problem-solving skills.
  
• Excellent communication and documentation skills.
  

Preferred Qualifications:

• Experience with tools like

  Apache Spark, Sqoop, Kafka

  is a plus.
• Familiarity with

  automation tools

  (e.g., Selenium, Python scripting for data testing).
• Knowledge of

  data visualization

  and reporting tools (Tableau, Power BI) is a bonus.
• Experience with

  cloud platforms

  (AWS, Azure, GCP) for Big Data is desirable.

Education:

• Bachelors or Masters degree in Computer Science, Information Technology, or a related field.