ETL Data testing

People's Growth HR Solutions; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A tech recruitment firm in Hyderabad is looking for a skilled QA Engineer to develop and execute test strategies. The ideal candidate will have over 5 years of experience, strong proficiency in Python and SQL, and knowledge of Big Data concepts. Responsibilities include integrating data tools, guiding software engineers, and collaborating with various teams. This role requires good communication skills and the ability to work in an Agile environment.

Qualifications

• 5+ years of experience in a relevant field.
• Strong analytical and excellent communication skills.
• Good understanding of QE testing types for data quality.

Responsibilities

• Select and integrate data tools and frameworks for capabilities.
• Guide software engineers in designing and testing enterprise software.
• Collaborate with teams to develop QA tests for data validation.

Skills

Python

Advanced SQL queries

Big Data concepts

NoSQL databases

Hive QL

Spark QL

Data testing tools: DBT, iCEDQ, QuerySurge, Denodo, Informatica

Linux or Unix

Messaging systems: Kafka or RabbitMQ

Job description

Notice Period: (Immediate Joiner - Preferred)

Experience: 5+ Years

What youll do:

Key Responsibilities:

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Select and integrate data tools and frameworks to provide requested capabilities.

Provide technical guidance to software engineers in designing, coding, reviewing, and testing enterprise software.

Collaborate with Data Scientists, Data Engineers, and Software Engineers to develop QA tests to validate data and models.

Implement ETL processes. Monitor performance and recommend infrastructure changes as needed.

Collaborate with the recruitment team for hiring.

Requirements:

• Experience creating detailed and comprehensive test suites using Python.
• Proficiency in writing complex SQL queries for data extraction or validation.
• Strong understanding of Big Data concepts and NoSQL databases (preferred).
• Expertise in writing Hive QL and Spark QL queries.
• Hands‑on experience with data testing tools like DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.
• Good understanding of QE testing types for data quality.
• Experience in troubleshooting applications and managing the defect lifecycle.
• Ability to test software and complete UAT in an Agile environment.
• Expertise in continuous automation for increased test coverage and efficiency.
• Proactive and reactive support in deployments and production environments.
• Proficiency in Linux or Unix environments.
• Ability to resolve cluster operating issues.
• Experience integrating data from multiple sources.
• Knowledge of BI tools like Power BI and Tableau (preferred).
• Experience with messaging systems like Kafka or RabbitMQ.
• Strong analytical and excellent communication skills.

Mandatory Skills:

• Python Advanced SQL queries Big Data concepts NoSQL databases Hive QL, Spark QL
• Data testing tools: DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.
• Linux or Unix
• Messaging systems: Kafka or RabbitMQ

Driving Results:

• Good single contributor & good team player.
• Flexible attitude towards work, as per the needs.
• Proactively identify & communicate issues and risks.

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Other Personal Characteristics:

Dynamic, engaging, self-reliant developer Ability to deal with ambiguity Manage a collaborative and analytical approach Self-confident and humble Open to continuous learning Intelligent, rigorous thinker who can operate successfully amongst bright people