Data Engineer (Remote in US)

Company Description

MRI-Simmons Research is a leading consumer insights company? We are an established organization, with a great brand, that is aggressively reinventing itself through investments in technology and people! The innovative private equity firm, Symphony Technology Partners, also backs us.

MRI-Simmons measures consumer preferences, attitudes and behaviors. We do this by collecting data through surveys and passively measure data in a way that is representative of the general population, applying data science and making sense of consumer data through enterprise-grade software. Marketers and media companies then use MRI-Simmons data and technology to develop marketing strategies, consumer segmentation schemes and media activation approaches.

We are seeking a highly skilled and experienced data engineer to join our team. As a Data engineer, you will play a crucial role in designing, developing and maintaining robust data pipelines and architecture. Skilled with data modeling, ETL (Extract, Transform, Load) processes and storage to enhance data accessibility, reliability, and performance.

Job Description

As Data Engineer, you will have following key accountabilities:

Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
Unit test and document solutions that meet product quality standards prior to release to QA.
Identify and resolve performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.
Implement data quality checks and validations processes to ensure accuracy, completeness and consistency of data delivery.
Work with Data Architect and implement best practices for data governance, quality and security.
Collaborate with cross-functional teams to identify and address data needs.
Ensure technology solutions support the needs of the customer and/or organization.
Define and document technical requirements.

Qualifications

Strong PL/SQL, SQL development skills
Proficient in multiple languages used in data engineering such as Python, Java.
Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL.
Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake).
Experience with cloud platforms like Azure and knowledge of infrastructure.
Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows)
Understanding of data privacy regulations and best practices.
Experience working with remote teams
Experience working on a team with a CI/CD process.
Familiarity using tools like Git, Jira.
Great problem-solving abilities.
Great work ethics.
Bachelor's degree in Computer Science or Computer Engineering.

Additional Information

This role has a market-competitive salary with an anticipated base compensation of the following range $84k to $120k. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:https://nielseniq.com/global/en/news-center/diversity-inclusion

Our commitment to Diversity, Equity, and Inclusion
NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/

Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly