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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced expertise in Data Engineering, focusing on Data Quality, Governance, and Observability within cloud environments, particularly AWS. Proficient in leading data ingestion pipelines and implementing scalable solutions for Relationship Intelligence platforms.
Highest-signal resume keywords
Data EngineeringAdvanced PythonAdvanced SQLAWS Cloud ExpertiseData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data QualityData LineageData ModelingData ObservabilityPipeline OptimizationETLELTGraph TheoryApache AirflowREST APIs
Soft Skills
Excellent CommunicationAbility to Influence DecisionsTechnical AutonomyStrong Analytical SkillsAbility to Work Effectively in Multidisciplinary Environments
Tools & Technologies
Amazon S3Amazon CloudWatchAmazon DynamoDBAmazon AthenaGitNeo4jAmazon NeptuneDatabricksSparkOpenSearch
Industry Keywords
Relationship IntelligenceFraud AnalyticsCompliance AnalyticsAML/CTFIdentity & FraudCI/CD for Data PlatformsKnowledge GraphsGenAI Applied to DataMCPLLM Integration
Tech Stack
Tools & technologiesAirflowApacheAWSCloudDynamoDBETLNeo4jPythonSparkSQL
About the role
Key responsibilities & impact- Support the maintenance, evolution, and scalability of the Relationship Intelligence platform
- Serve as the technical data authority for the platform
- Lead the evolution of data ingestion pipelines and database update processes
- Ensure data quality, consistency, traceability, and governance
- Advance graph-based data modeling and complex relationship modeling
- Support the platform’s scalability across new business verticals and products
- Define and implement Data Quality, Observability, and Monitoring standards
- Collaborate with Engineering, Product, Architecture, and Security teams
- Support performance and cost optimization initiatives in the AWS environment
- Contribute to new analytical capabilities, APIs, and relationship intelligence services
- Participate in defining the future architecture of the data platform
- Support integration strategies involving AI models, analytics, and intelligent agents
- Establish data governance and quality practices for the Relationship Intelligence platform during the first 12 months
- Industrialize database update pipelines
- Advance platform observability and monitoring
- Support expansion into new business verticals
- Reduce operational risks related to data
- Become the primary data authority for the product
Requirements
What you’ll need- Strong experience in Data Engineering
- Experience serving as a technical data authority or Data Technical Lead
- Experience working in high-volume environments
- Experience with cloud data architecture
- Advanced Python
- Advanced SQL
- Apache Airflow
- Git
- REST APIs
- Advanced AWS cloud expertise
- Amazon S3
- IAM
- Amazon CloudWatch
- Amazon DynamoDB
- Amazon Athena or equivalent analytics services
- ETL and ELT
- Data Quality
- Data Lineage
- Data Governance
- Data modeling
- Data Observability
- Pipeline optimization
- Strong analytical skills
- Architectural perspective
- Technical autonomy
- Ability to influence decisions
- Ability to work effectively in multidisciplinary environments
- Excellent communication with technical and business stakeholders
- Neo4j, Amazon Neptune, graph databases, graph analytics, Relationship Intelligence, and Entity Resolution are highly desirable differentiators
- Experience with Fraud Analytics, Compliance Analytics, AML/CTF, Identity & Fraud, CI/CD for data platforms, Databricks, Spark, OpenSearch, Knowledge Graphs, GenAI applied to data, MCP, and LLM integration is desirable
- Advanced experience with Python and SQL
- Experience with cloud data architecture, preferably AWS
- Experience with data orchestration tools
- Knowledge of data modeling, Data Quality, and Data Governance
- Graph Theory
Benefits
Comp & perks- Experian’s people-first, inclusive, and purpose-driven culture
- Equal Opportunity and Affirmative Action employer
- Accommodation support for disabilities or special needs