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Data Testing Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

India

Offer summary

Qualifications:

5+ years of experience, Proficient in Python and SQL, Experienced with Big Data concepts, Hands-on with data testing tools, Good understanding of messaging systems.

Key responsabilities:

Select and integrate data tools and frameworks.
Provide technical guidance for software engineers.
Collaborate with Data Scientists and Engineers for QA testing.
Implement ETL processes and monitor performance.
Define data retention policies and assist hiring.

Evnek https://www.Evnek.com

11 - 50 Employees

See more Evnek offers

Job description

This is a remote position.

Role : Data Testing Engineer

Location: Remote

Timings: Full Time (As per company timings)
Notice Period: within 15 days or immediate joiner
Experience: 5+ years

Must-Have Skills:

Python
Advanced knowledge of SQL queries
Big Data concepts
NoSQL database
Hive QL
Spark QL
Data testing tools like DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.
Linux or Unix
Messaging Systems (Kafka or RabbitMQ)

Responsibilities:

Selecting and integrating data tools and frameworks required to provide requested capabilities.
Providing technical guidance for software engineers engaged in design, coding, reviewing, and testing of enterprise software.
Collaborating with Data Scientists, Data Engineers, and Software Engineers to understand data and models for QA test development and validation.
Implementing ETL processes.
Monitoring performance and advising on any necessary infrastructure changes.
Defining data retention policies.
Collaborating with the recruitment team for hiring.

Requirements:

Experience creating detailed and comprehensive test suites using programming languages such as Python.
Experience writing complex SQL queries to extract or validate data.
Good understanding of Big Data concepts and NoSQL databases (preferable).
Proficient 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 testing data quality.
Troubleshooting applications and rectifying problems at earlier stages; involvement in defect life cycle management.
Ability to test software and conduct UAT with business users in an Agile manner.
Continuously automating to increase test coverage and efficiency.
Providing proactive and reactive support in deployments and production environments.
Hands-on experience with Linux or Unix.
Good debugging skills.
Ability to solve ongoing issues with operating the cluster.
Experience with integration of data from multiple data sources.
Experience with BI tools like PowerBI and Tableau (a plus).
Experience with messaging systems like Kafka or RabbitMQ.
Strong analytical and excellent communication skills.