Senior Data Engineer

Experian is a global data and technology company that powers opportunities for people and businesses worldwide. 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 in realizing their financial goals and helping them save time and money.

We operate across multiple 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 an 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

The Senior Data Engineer reports to the Data Engineer Manager and designs, develops and supports ETL data pipeline solutions in the AWS environment.

You will help build a semantic layer by developing ETL and virtualized views.

Collaborate with engineering teams to discover and use new data that is being introduced into the environment.

Work as part of a team to build and support a data warehouse and implement solutions using Python to process structured and unstructured data.

Support existing ETL processes written in SQL, troubleshoot and resolve production issues.

You will create report specifications and process documentation for the required data deliverables.

Be a liaison between business and technical teams to achieve project goals, delivering cross-functional reporting solutions.

Troubleshoot and resolve data, system, and performance issues.

Communicate with partners, other technical teams, and management to collect requirements, articulate data deliverables, and provide technical designs.

You have Experience providing engineering support to the customer support team to resolve any critical customer issues in an Agile environment.

Experience communicating updates and resolutions to customers and other partners since, as a Data Engineer, you will collaborate with partners and technical teams.

Minimum 5 years of experience as an ETL Data Engineer, and has intermediate knowledge working with SQL and data Experience approaching a problem from different angles, analyzing pros and cons of different solutions

Minimum 5 years of experience in Python scripting

Minimum 2 years of experience with AWS data ecosystem (Redshift, EMR, S3, MWAA, etc.)

Minimum 3 years of experience working in an Agile environment.

Highly motivated, self-starter, detail-oriented, and able to produce solutions.

Experience with Tableau is a plus.Experience with DBT.

Hands-on experience with Apache Airflow or equivalent tools (AWS MWAA) for the orchestration of data pipelines.

Hands-on experience working and building with Python API-based data pipelines.

Benefits/Perks

Great compensation package & bonus plan

Core benefits including full medical, dental, vision, and matching 401K

Flexible schedule, ability to work remotely, hybrid, or in-office

Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

Additional Information

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our peoples agenda very seriously and focus on what matters: DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experians 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.

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

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