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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/TableauPaysign, Inc. • Henderson, NV, United States
Senior Technical Reporting Manager; ETL Reporting Engineer - AWS Data Platform / Tableau

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

Paysign, Inc. • Henderson, NV, United States
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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.

Essential Functions

  • Build and orchestrate ETL / ELT workflows using Apache Airflow for complex data pipeline management
  • Develop serverless data processing with AWS Lambda and EventBridge 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 BusinessObjects reporting platforms

Supervisory Responsibilities

  • No supervisory responsibilities

    • Required Skills / Abilities

  • Airflow : DAG development, custom operators, workflow orchestration, production deployment
  • Lambda : Serverless functions, event triggers, performance optimization
  • EventBridge : Event-driven architecture, rule configuration, cross-service integration
  • Glue : ETL job development, crawlers, Data Catalog, schema management
  • DMS : Database migrations, continuous replication, heterogeneous database integration
  • Redshift : Cluster management, query optimization, workload management
  • Athena : Serverless analytics, partitioning strategies, federated queries

    • Tableau (Expert Level)

  • 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

    • Data Technologies

  • Apache Kafka : Stream processing, topic design, producer / consumer development
  • SQL : Advanced querying across multiple database platforms (PostgreSQL, MySQL, Oracle)
  • Python / Scala : Data processing, automation, custom pipeline development
  • Schema Management : Automated detection, evolution strategies, backward compatibility
  • Tableau : data modeling

    • Analytics Platforms

  • Tableau : Data source optimization, extract management, connection configuration
  • BusinessObjects : Universe design, report development, data feed creation
  • Tableau : Design and Code rewrite

    • Education and Experience

  • 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
  • Database migration expertise using DMS for enterprise-scale projects
  • BI integration experience with Tableau and BusinessObjects platforms
  • Tableau : 2 plus year

    • Key Competencies

  • 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

    • Preferred Qualifications

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