DATA ENGINEER II | MARKETING STRATEGY MG
Core
Build, maintain, and optimize distributed data pipelines (ETL/ELT) and manage AWS data solutions to support Lifecycle Analytics projects.
Role type
Data Engineer II
Builds
Robust data pipelines and AWS data infrastructure for a Global Financial Super App
Domain
Financial services / Cloud data engineering
Deliverable
production ML models | infrastructure
Required skills
Apache Spark, Python, Advanced SQL, AWS (S3, EMR, Glue, IAM), Git, Data Orchestration
Preferred skills
Apache Airflow, Real-time data streaming, Infrastructure as Code (Terraform/CloudFormation), CI/CD, Multi-cloud experience (GCP/Azure), Financial/Marketing data processing
Technologies
Apache Spark, AWS, Python, SQL, Git, Apache Airflow, Terraform, CloudFormation
Responsibilities
Monitor data flow health, investigate performance bottlenecks, resolve incidents, implement data quality and governance routines, collaborate with data scientists and business units
Seniority
Mid-level, hands-on IC