Description

Key Responsibilities

• Design, build, and maintain scalable data pipelines in AWS
• Implement data ingestion, transformation, and processing workflows
• Develop high-quality, production-ready code in Java or Python
• Work with Apache Spark for distributed data processing
• Implement logging, monitoring, and performance optimization
• Collaborate with cross-functional teams to support analytics and operational data needs
• Support infrastructure automation and cloud best practices

Required Qualifications

• 7–10 years of professional experience
• 3+ years of strong hands-on coding in Java or Python
• 3+ years of AWS experience
• Hands-on experience with:
  • AWS S3
  • AWS Lambda
  • AWS Glue
  • Apache Spark
• Proven experience building and maintaining end-to-end data pipelines
• Experience with logging, monitoring, and production support

Preferred Qualifications

• Experience with Terraform (Infrastructure as Code)
• Experience with Informatica, Snowflake, or other ETL tools
• Background in large-scale or industrial data environments

Key Skills

Education

Bachelor's degree