Senior Technical Reporting Manager; ETL Reporting Engineer - AWS Data Platform/Tableau (Henderson)Paysign, Inc. • Henderson, NV, US

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

Paysign, Inc. • Henderson, NV, US

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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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