Senior Technical Reporting Manager, ETL Reporting Engineer-AWS Data Platform​/Tableau

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Senior Technical Reporting Manager, ETL Reporting Engineer-AWS Data Platform/Tableau

Senior Technical Reporting Manager, ETL Reporting Engineer-AWS Data Platform/Tableau

Henderson, Nevada

Design and maintain enterprise-scale data pipelines using AWS cloud services, handling schema evolution in data feeds and delivering analytics‑ready datasets to BI platforms. This role requires hands‑on expertise with the full AWS data stack and proven ability to build enterprise‑grade data solutions that scale.

• Build and orchestrate ETL/ELT workflows using Apache Airflow for complex data pipeline management
• Develop serverless data processing with AWS Lambda and Event Bridge for real‑time transformations
• Create scalable ETL jobs using AWS Glue with automated schema discovery and catalog management
• Execute database migrations and continuous replication using AWS DMS
• Design and optimize Amazon Redshift data warehouses and Amazon Athena federated queries
• Implement streaming data pipelines with Apache Kafka for real‑time ingestion
• Manage schema changes in data feeds with automated detection and pipeline adaptation
• Create data feeds for Tableau and Business Objects reporting platforms

No supervisory responsibilities

• Airflow
  : DAG development, custom operators, workflow orchestration, production deployment
• Lambda
  :
  Serverless functions, event triggers, performance optimization
• Event Bridge
  :
  Event‑driven architecture, rule configuration, cross‑service integration
• Glue
  : ETL job development, crawlers, Data Catalog, schema management
• Redshift
  :
  Cluster management, query optimization, workload management
• Athena
  :
  Serverless analytics, partitioning strategies, federated queries
• Develop and maintain data analogs, data cubes, queries, data visualization and reports
• Assist in testing code, governance, data quality, and documentation effort
• Reported data and visualizations and reports
• Collaborate with data stewards to test, clean, and standardize
• Evaluate patterns and meaningful insights from data through qualitative and quantitative analysis

• SQL
  :
  Advanced querying across multiple database platforms (Postgre
  
  SQL, MySQL, Oracle)
• Schema Management
  :
  Automated detection, evolution strategies, backward compatibility
• Tableau
  : data modeling

• Tableau
  :
  Design and Code rewrite

• 5+ years AWS data platform development
• 3+ years production Airflow experience with complex workflow orchestration
• Proven experience managing high‑volume data feeds (TB+ daily) with schema evolution
• BI integration experience with Tableau and Business Objects platforms
• Tableau: 2 plus year
• Design fault‑tolerant data pipelines with automated error handling and recovery
• Handle schema changes in real‑time and batch data feeds without pipeline disruption
• Optimize performance across streaming and batch processing architectures
• Implement data quality validation and monitoring frameworks
• Coordinate cross‑platform data synchronization and lineage tracking

• AWS Data Analytics Specialty or Solutions Architect Professional certification
• Experience with Infrastructure as Code (Terraform, Cloud Formation)
• Knowledge of Data Ops practices and CI/CD for data pipelines
• Containerization experience (Docker, ECS, EKS) for data workloads

Work is generally performed within an indoor office environment utilizing standard office equipment.

General office environment requires frequent sitting; dexterity of hands and fingers to operate a computer keyboard and mouse; walking and standing for long periods of time; and lifting of less than 20 pounds.