Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather, analyze and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.
What you’ll be doing:
The Senior Data Engineer will help build the next generation of cloud-based data tools and reporting for Experian’s MCE contact center division. Valuable, accurate, and timely information is core to our success, and this highly impactful role will be an essential part of that.
Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business. As part of this, understanding the business-side logic, environment, and workflows is important, and in effect, we need someone that is an incredible problem solver. If you are a self-driven, determined engineer that loves data, creating cutting edge tools, and moving fast, this position is for you! We are a results-oriented team that is looking to attract and reward high performing individuals. Come join us!
Responsibilities include:
· Complex Dataset Construction: Construct datasets using complex, custom stored procedures, views, and queries. Strong SQL development skills are a must, preferably within Redshift and/or PostgreSQL.
· Full-stack Data Solutions: Develop full lifecycle data solutions from data ingestion (using custom AWS-based data movement/ETL processes via Glue with Python code) to downstream real-time and historical reports.
· Business Need to Execution Focus: Understand data-driven business objectives and develop solutions leveraging various technologies and solve for those needs. Along with great problem-solving skills, a strong desire to learn our operational environment is a necessity.
· Delivery Speed Enablement: Build reusable data-related tools, CI/CD pipelines, and automated testing. Enable DevOps model usage focused on continuous improvement, and ultimately reduce unnecessary dependencies.
· Shift Security Left: Ensure security components and requirements are implemented via automation up-front as part of all solutions being developed.
· Focus on the Future: Stay current on industry best practices and emerging technologies and proactively translate those into data platform improvements.
· Be a Great Team Player: Train team members in proper coding techniques, create proper documentation as needed, and be a solid leader on the team as a senior-level engineer.
· Support US Operations: Operate partially within US Eastern time zone to ensure appropriate alignment and coordination with the US-based teams.
What your background looks like
Qualifications Required:
· Extensive experience in modern data manipulation and preparation via SQL code and translating business requirements into usable reports.
· Solid automation skillset and ability to design and create solutions to drive out manual data/report assembly processes within an organization.
· Experience constructing reports within a BI tool while also taking ownership of upstream and downstream elements.
· Able to create CI/CD pipelines that perform code deployments and automated testing.
· Ability to identify business needs and proactively create reporting tools that will consistently add value.
· Strong ability and willingness to help others and be an engaged part of the team. Patience and a collaborative personality are a must; we need a true team player that can help strengthen our overall group.
· Goal-driven individual; must have a proven career track record of achievement. We want the best of the best and reward stellar performers!
Skills:
· 3+ years developing complex SQL code required, preferably within Redshift and/or PostgreSQL
· 3+ years using Python, Java, C#, or other similar object-oriented language
· CI/CD pipeline construction, preferably using GitHub Actions
· Git experience
· General knowledge of AWS Services, with a preference in Glue and Lambda.
· Infrastructure-as-code (CloudFormation, Terraform, or similar product) a plus
· Google Looker experience a plus (not required)
Experian Careers - Creating a better tomorrow together
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