Match score not available

Data Engineer QA IRC236391

fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience in QA processes., Knowledge of data validation techniques., Familiarity with ETL processes., Ability to implement automated tests., Strong analytical skills..

Key responsabilities:

  • Develop and execute test plans and cases.
  • Perform data validation on pipelines.
  • Monitor data pipeline performance.
  • Collaborate with engineering and analyst teams.
  • Document data quality processes and results.
GlobalLogic logo
GlobalLogic https://www.globallogic.com/
10001 Employees
See more GlobalLogic offers

Job description

Description:

Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.

Requirements:

Design and Implement QA Processes:

Develop and execute comprehensive test plans, test cases, and test scripts for data validation.

Design automated tests to ensure data quality and integrity across data pipelines and ETL processes.

Data Validation and Testing:

Perform data validation and verification on data pipelines to ensure data accuracy and consistency.

Identify, document, and track data quality issues and work with data engineering teams to resolve them.

Performance Monitoring:

Monitor and analyze data pipeline performance and suggest improvements to enhance efficiency and reliability.

Implement monitoring tools and techniques to continuously assess the health of data systems.

Collaboration:

Collaborate with data engineers, data scientists, and business analysts to understand data requirements and ensure proper data validation.

Work closely with stakeholders to gather requirements and provide feedback on data quality standards and best practices.

Documentation:

Create and maintain detailed documentation of data quality processes, test cases, and results.

Document data lineage and maintain data dictionaries to support data governance efforts.

Job Responsibilities:

Design and Implement QA Processes:

Develop and execute comprehensive test plans, test cases, and test scripts for data validation.

Design automated tests to ensure data quality and integrity across data pipelines and ETL processes.

Data Validation and Testing:

Perform data validation and verification on data pipelines to ensure data accuracy and consistency.

Identify, document, and track data quality issues and work with data engineering teams to resolve them.

Performance Monitoring:

Monitor and analyze data pipeline performance and suggest improvements to enhance efficiency and reliability.

Implement monitoring tools and techniques to continuously assess the health of data systems.

Collaboration:

Collaborate with data engineers, data scientists, and business analysts to understand data requirements and ensure proper data validation.

Work closely with stakeholders to gather requirements and provide feedback on data quality standards and best practices.

Documentation:

Create and maintain detailed documentation of data quality processes, test cases, and results.

Document data lineage and maintain data dictionaries to support data governance efforts.

What We Offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Analytical Thinking
  • Verbal Communication Skills

Data Engineer Related jobs