Senior Data Engineering at Experian

Worldwide

<h3>Company Description</h3><p>Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at <a href="http://www.experian.com/careers">www.experian.com/careers</a> to be part of our team.</p><h3>Job Description</h3><p>Experian is looking for an Engineering Analyst to join our Marketplace Decision Optimization team. You will be part of a large, revenue-driving team that operates on an entirely cloud-based analytical platform. As an Engineering Analyst, you will work directly with team members to ensure data reliability, test and enhance offer ranking and display optimization algorithms, and bridge the gap between data engineering and reporting/modeling. You will be reporting to Data Engineering Supervisor.</p><p>Main Responsibilities:</p><ul><li>Learn and understand the structure of our Snowflake database and its relationship to our product environment.</li><li>Use SQL.</li><li>Maintain scripts using Python to automate data processes and enhance data manipulation.</li><li>Interpret and dig into data to uncover insights and support decision-making.</li><li>Communicate within a team environment, collaborating with data engineers, analysts, and other partners.</li><li>Demonstrate ownership and responsibility for individual projects, taking tasks with limited explanation.</li><li>Innovate and contribute new ideas to improve business processes and improve algorithms.</li></ul><h3>Qualifications</h3><ul><li>Bachelor's degree in Statistics, Math, Engineering, or a related quantitative discipline from an accredited college or university.</li><li>Knowledge of Python and SQL.</li><li>5+ years of experience working with large datasets and cloud-based platforms, Snowflake.</li><li>Interpret and dig into data.</li><li>Bridge the gap between data engineering and reporting/modeling.</li><li>Curiosity and a willingness to innovate.</li></ul><p>Additional Preferred Experience:</p><ul><li>Experience with scripting and automation using Python.</li><li>Experience working within Snowflake and understanding its data structures.</li><li>Familiarity with data manipulation and ETL processes.</li><li>Understanding of databases and data reliability.</li></ul><h3>Additional Information</h3><ul><li>Benefits/Perks:</li></ul><p>Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.</p><ul><li>This is a fully remote job opportunity. #LI-Remote</li><li>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, engagement, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian’s people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.</li></ul><p>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.</p>