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

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

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.

Responsibilities:

• 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

Requirements:

• 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
• 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

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 Business Objects platforms

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, Cloud Formation)
• Knowledge of Data Ops practices and CI/CD for data pipelines
• Containerization experience (Docker, ECS, EKS) for data workloads

We are an equal opportunities employer and welcome applications from all qualified candidates.