It Sr Leader

Jessander

São Paulo, Brazil
Data/analytics manager hands-on
Apache airflow workflow orchestration
Aws emr spark hadoop processing
Manage the Data/Analytics team technically and administratively, defining technical roadmaps, backlogs, and evolution plans for batch processing and analytics capabilities

Job Summary

  • Manage the Data/Analytics team technically and administratively, defining technical roadmaps, backlogs, and evolution plans for batch processing and analytics capabilities.
  • Design, implement, and optimize data pipelines using EMR, Glue, and Athena, ensuring reliability, performance, and scalability, while also supporting business areas in building analytical datasets and dashboards.
  • The company offers a comprehensive benefits package including meal assistance, medical and dental plans, flexible vacation, birthday day-off, performance participation program, gym partnerships, hybrid work model, extensive training platforms, and career development lines.

Matching Summary

Manage the Data/Analytics team technically and administratively, defining technical roadmaps, backlogs, and evolution plans for batch processing and analytics capabilities.

Skills & Requirements

Must-have

  • Data/Analytics Manager hands-on
  • Apache Airflow workflow orchestration
  • AWS EMR Spark Hadoop processing
  • AWS Glue ETL Data Catalog
  • AWS Athena data queries
  • Batch data pipeline architecture
  • PowerBI data visualization

Nice-to-have

  • AI Agents integration
  • AWS certifications
  • Modern Data Lake Lakehouse architectures
  • CI/CD pipeline integration
  • DataOps practices automation
  • Advanced Spark optimization
  • Advanced English and Spanish

Key Requirements

  • Solid experience in technical leadership and management of Data, Analytics, and Batch Processing teams
  • Advanced knowledge in workflow orchestration and scheduling using Apache Airflow
  • Practical experience with AWS EMR
  • Knowledge in AWS Glue
  • Experience with AWS Athena
  • Solid knowledge in batch data architecture
  • Experience with Analytics and data visualization tools
  • Experience with AI Agents integration
  • Experience with S3 storage optimization
  • Ability to define quality, governance, and observability standards
  • Experience defining and monitoring quality indicators, SLA, SLO
  • Ability to act technically in pipeline implementation

Work Rights

Not specified

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