AWS Data Engineer
Core
Design and implement large-scale data pipelines and architectures on AWS for financial institutions, handling batch, streaming, and event-driven workloads.
Role type
Senior AWS Data Engineer
Builds
Data pipelines, data models, and cloud data solutions for financial clients
Domain
Finance / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS Glue Jobs (PySpark/Spark), Python/C#, SQL, ETL, Data Modeling, AWS Lambda, Serverless services (S3, RDS, Redshift, DynamoDB, Kinesis), CI/CD, DevOps
Preferred skills
Kafka, Microservices architecture, Financial industry experience, AWS Certified Machine Learning – Specialty
Technologies
AWS Glue, PySpark, Python, C#, SQL, AWS Lambda, S3, RDS, Redshift, DynamoDB, Kinesis, Kafka, PowerShell, Bash, Ruby, Perl
Responsibilities
Design and implement complex data solutions from batch to streaming architectures; Ingest data into AWS S3 and perform ETL into RDS or Redshift; Utilize AWS Lambda for event-driven data transformations; Optimize cloud workloads for cost, scalability, and governance; Maintain data integrity through backup and recovery procedures; Automate migration processes from development to production.
Seniority
Senior, hands-on IC