Data Quality Engineer

WHO WE ARE:

We think too much marketing isn’t us. It’s mass markets not audiences of one. Homogenous groups to be targeted, not individuals to be inspired. Segments to reach, not people with their own ideas and ambitions. It’s one size fits all and it’s dull.

When it comes to individuals, we’re fierce. We stand up for individuality. We speak up against bland, broad-brush generalizations. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations. And we commit to doing this in every aspect of our work for clients and their consumers.

We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s well-being.

We are Fiercely Individual.

HOW WE DO IT:

At RAPP we are fiercely focused on the individual and how we can create value from every individual’s experience with a brand. We do this across three capability areas: customer centric consulting, creativity that inspires action and customer experience management.

Our data analysts know who that person is. Our strategists understand what they want. And our award-winning Technologists and Creatives know how to get it to them.

RAPP is an integral part of Omnicom’s Precision Marketing Group, comprising 4,000 creatives, technologists, strategists, and data and marketing scientists across 40 global markets.

JOB PURPOSE

The Data Quality Engineer reports to a QA Lead and is responsible for maintaining and enhancing the quality of data assets, which are vital for the success of our clients’ products and services. He / She will work closely with cross-functional teams to implement and enforce data quality standards, identify, and resolve data anomalies, and contribute to the continuous improvement of data quality processes.

MAIN RESPONSIBILITIES / DUTIES

• Collaborates with data analysts, data scientists, and data engineers to understand data requirements and quality expectations.
• Participates in developing and implementing data quality policies, standards, and procedures.
• Records, tracks, and maintains data quality metrics to monitor data accuracy and completeness.
• Identifies data anomalies and discrepancies and work with the appropriate teams to rectify them.
• Automates data quality checks and validation processes.
• Continuously improves data quality processes and best practices.
• Educates and trains team members on data quality standards and processes.

REQUIREMENTS / QUALIFICATIONS

ACADEMIC BACKGROUND

• Desirable: Bachelor's / master’s degree in computer science, Information Systems, or related field.

REQUIRED EXPERIENCE

• 3-5 years of experience is software quality assurance.
• Proven experience as a data quality engineer or similar role.
• Proficiency in data profiling, data cleansing, and data validation techniques.
• Strong knowledge of SQL and data querying tools.
• Familiarity with data quality tools and frameworks.
• Excellent problem-solving and analytical skills.

• Strong communication and teamwork skills.

• Detail-oriented and a commitment to maintaining data integrity.

PREFERRED QUALIFICATIONS

• Experience with big data technologies and tools.
• Certification in data quality or related fields.
• Knowledge of data governance principles.
• Familiarity with industry-specific data quality standards and regulations.

SKILLS / COMPETENCIES

Communicates effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.* *

• Attentively listens to others.
• Adjusts to fit the audience and the message.
• Provides timely and helpful information to others across the organization.
• Encourages the open expression of diverse ideas and opinions.

Self-development: Actively seeking new ways to grow and be challenged using both formal and informal development channels.

• Shows personal commitment and acts to continuously improve.

• Accepts assignments that broaden capabilities.

• Learns from new experiences, from others, and from structured learning.

Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

• Readily acts on challenges, without unnecessary planning.
• Identifies and seizes new opportunities.
• Displays a can-do attitude in good and bad times.
• Steps up to handle tough issues.

Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.

• Learns quickly when facing new situations.
• Experiments to find new solutions.
• Takes on the challenge of unfamiliar tasks.
• Extracts lessons learned from failures and mistakes.

WORK ENVIRONMENT DEMANDS

• This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, smartphones, photocopiers, and filing cabinets.
• May be requested to work overtime and/ or to travel for special projects.