Principal Data Quality Engineer

Job Title:

Principal Data Quality Engineer

Job Description

We re Concentrix. A new breed of tech company Human-centered. Tech-powered. Intelligence-fueled.
We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.
Our game-changers:
Challenge Conventions
Deliver outcomes unimagined
Create experiences that go beyond WOW
If this is you, we would love to discuss career opportunities with you.
In our Concentrix Catalyst team, you will work with the engine that powers the experience design and engineering capabilities at Concentrix. A leading global solutions company that reimagines everything CX through strategy, talent, and technology. We combine human-centered design, powerful data, and strong tech to accelerate CX transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.
We re a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career.

We are looking for an experienced Principal Data Quality Engineer to help test their Data Platform. The potential candidate must have proven expertise with ETL Testing and AWS experience to help the internal teams to build an effective and futuristic data platform. This role is essential for ensuring that Data systems meet the highest quality standards and support the organization s strategic objectives.

Duties and Responsibilities:

Develop, implement, and oversee data quality strategies and frameworks to ensure high standards across the organizations Data Platform.

ETL Testing: Design and execute comprehensive ETL test plans, including test case development, data validation, and performance testing.

Data Pipeline Management: Monitor and optimize data pipelines using AWS services like Glue, S3, Athena, MSK, SQS, Lambda, and Step Functions to ensure reliable and efficient data processing.

Automation and Scripting: Create and maintain automated scripts and tools for data quality validation using Python to streamline testing and data integrity checks.

Work closely with data engineers, analysts, and stakeholders to understand data requirements, identify quality issues, and propose solutions.

Provide detailed documentation of data quality processes, methodologies, and results.

Qualifications Required:

10-15 years proven experience in Data Quality engineering or related roles.

Extensive experience in Data Quality engineering with a strong focus on ETL testing.

Proven experience with AWS services including Glue, S3, Athena, MSK, SQS, Lambda, and Step Functions.

Good Experience on SQL.

Proficiency in Python for scripting and automation tasks.

Experience with test management tools like Azure DevOps, Zephyr etc.

Experience working in Agile - Scrum/Kanban

Strong analytical and problem-solving skills with the ability to handle complex data issues and requirements.

Strong communication and collaboration skills to work effectively with cross-functional teams.

Demonstrated ability to lead projects and mentor team members effectively.

High attention to detail with a strong focus on accuracy and data integrity.

Continuous learning mindset and willingness to adapt to new technologies and techniques.

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Location:

IND BANGALORE-MANYA Work-at-Home

Language Requirements:

Time Type:

Full time

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