Data Engineer Lead

Equifax is seeking creative, high-energy and driven Data Engineer Lead with hands-on development skills to work on a variety of meaningful projects.

What you'll do

• Demonstrate a deep understanding of cloud native, distributed Big data architectures
• Deliver solutions for complex business problems through software standard SDLC
• Build strong relationships with both internal and external stakeholders including product, business and sales partners
• Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed
• Build and manage strong technical teams that deliver complex software solutions that scale
• Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters
• Provide deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure
• Leverage strong experience in full stack software development and public cloud like GCP and AWS
• Mentor, coach and develop junior and senior software, quality and reliability engineers
• Lead with a data/metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions
• Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs
• Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams
• Collaborate with architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices
• Drive up-to-date technical documentation including support, end user documentation and run books
• Lead Sprint planning, Sprint Retrospectives, and other team activity
• Responsible for implementation architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions
• Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate

What experience you need  

• Bachelor's degree or equivalent experience
• 4+  years of experience in a leadership role coaching and developing teams
• 5+ years of software engineering experience
• 5+ years experience developing data pipelines using Google Cloud Platform service like composer, airflow, dataproc, dataflow or any open source services
• 5+ years experience with Cloud technology: GCP, AWS, or Azure
• 5+ years of data modeling experience for structured or unstructured data and using different database engine BigQuery, Bigtable (GCP), DynamoDB, Athena (AWS) , Oracle or Postgres 
• 5+ years experience designing and developing cloud-native solutions
• 4+ years of experience with source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle.
• 4+ years of experience in  Agile environments (e.g. Scrum, XP)
• 4+ years of experience with Atlassian tooling (e.g. JIRA, Confluence)

What could set you apart

• Self-starter that identifies/responds to priority shifts with minimal supervision.
• Experience using Data catalogue, Lineage, observability tools (GCP,AWS or Open Source)
• Experience in Gen AI, Machine Learning Models.
• Strong communication and presentation skills
• Strong leadership qualities
• Demonstrated problem solving skills and the ability to resolve conflicts
• Experience creating and maintaining product and software roadmaps
• Experience overseeing yearly as well as product/project budgets
• Working in a highly regulated environment

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