Paysign, Inc.
Senior Technical Reporting Manager, ETL Reporting Engineer-AWS Data Platform/Tab
Paysign, Inc., Henderson, Nevada, us, 89077
All Jobs > 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.
Requirements 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
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
Data Technologies
SQL : Advanced querying across multiple database platforms (PostgreSQL, MySQL, Oracle)
Schema Management : Automated detection, evolution strategies, backward compatibility
Tableau : data modeling
Analytics Platforms
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
BI integration experience with Tableau and BusinessObjects 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
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
Working Conditions 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.
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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.
Requirements 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
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
Data Technologies
SQL : Advanced querying across multiple database platforms (PostgreSQL, MySQL, Oracle)
Schema Management : Automated detection, evolution strategies, backward compatibility
Tableau : data modeling
Analytics Platforms
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
BI integration experience with Tableau and BusinessObjects 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
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
Working Conditions 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.
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