Big Data Tester

1 day ago

Bengaluru Gurugram, India Kezan Consulting Full time ₹ 1,04,000 - ₹ 1,30,878 per year

**ONLY FOR IMMEDIATE JOINERS**

Position: Big Data Tester

Experience: 4+ Years

Location: ( Gurugram / Bangalore )

Joining: Immediate Joiner

Job Summary:

We are seeking an experienced Big Data Tester with a strong background in HDFS, Hive, ETL testing, and SQL. The ideal candidate will have a experience in Big Data ecosystems, ETL/SQL testing, and in the healthcare domain. You will be responsible for validating data pipelines, ensuring data quality, and verifying ETL processes in a big data environment.

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.

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