Data Engineer – Platform ESS

This Data Engineer role at Experian focuses on designing, developing, and maintaining data engineering systems and processes for the SPLatam DA HUB. The position is crucial for enabling cloud analytical platforms, ensuring data quality, and promoting innovative practices like DataOps and DevOps to drive digital transformation and data democratization in the region. Responsibilities include managing data ingestion, transformation, and access, ensuring data quality, implementing cloud platforms, and fostering innovation with Big Data, Cloud, and GenAI technologies.

Must Have

• Design, develop, and maintain data engineering systems and processes.
• Ensure efficient data ingestion, transformation, storage, and availability.
• Enable cloud analytical platforms.
• Ensure data quality and governance.
• Promote DataOps and DevOps practices.
• Drive digital transformation and data democratization.
• Design and implement data flow.
• Optimize and automate analytical processes.
• Design architectures for ESS & analytics products integrating Experian and Cloud services.
• Implement and maintain analytical platforms.
• Incorporate innovation using Cloud, Big Data, GenAI.
• Support clients with data structures and platform usage.
• Optimize costs and resources.

Perks & Benefits

• Diversity, Equity, and Inclusion (DEI) initiatives
• Work/life balance
• Professional development opportunities
• Authenticity and collaboration-focused culture
• Wellness programs
• Reward & recognition programs
• Volunteering opportunities

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Purpose of the position:

Design, develop and maintain data engineering systems and processes that ensure the efficient ingestion, transformation, storage and availability of information for the DA HUB of SPLatam. This role is key to enabling cloud analytical platforms, ensuring data quality and promoting innovative practices that drive digital transformation and data democratization in the region.

The main functions of the area:

• Design and implementation of processes related to Data Engineering such as:
• The definition and implementation of data flow
• Data exploration
• Optimization / Automation of Processes/Routines that generate efficiencies in analytical processes.
• Application of practices based on DataOps
• Guarantee the life cycle of analytical platforms from:
• The design of architectures for ESS & analytics products that integrate services and platforms from both Experian and Cloud providers
• The implementation and maintenance of the platforms
• The assurance and governance of the platforms
• The incorporation of constant innovation taking advantage of advances in Cloud technology, Big Data, GenAI, among others.
• Ascend Analytical Sandbox Customer Support:
• Executing a friendly onboarding for our clients
• Support in understanding data structures, platform management and efficient use of it
• Cost optimization ensuring a correct understanding of customer needs

To achieve its objective and fulfill its functions, the area has the following profiles and positions:

• Data Engineers and analytical platform administrators
• Ascend Technical Experts
• Technical leader of analytical products and platforms such as Ascend.

Responsibilities of the position:

• Design and manage data ingestion, transformation and access processes (structured and unstructured), ensuring efficiency and reliability.
• Generate value from data by creating significant attributes and transformations for products and services.
• Ensure data quality, implementing control and validation mechanisms.
• Implement and maintain analytical platforms in the cloud, aligned with business needs and defined architectures.
• Apply DataOps and DevOps practices, optimizing the operation and deployment of solutions.
• Drive innovation in data engineering, incorporating emerging technologies such as Big Data, Cloud, GenAI and advanced automation.
• Collaborate in the optimization of costs and resources, ensuring efficient use of platforms and services.

Qualifications

A Data Engineer passionate about innovation and process optimization, who leads the design, development and maintenance of data processing and data flow systems for the SPLatam DA HUB.

This role is key to enabling cloud analytical platforms, ensuring data quality and promoting modern practices such as DataOps and DevOps, driving digital transformation and data democratization in the region.

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

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