Principal Data Engineer

Key Responsibilities:

• Architect and lead scalable, high-availability data pipelines (batch & streaming).
• Design and implement cloud-native data solutions and ETL/ELT workflows on AWS.
• Ensure data reliability, performance, security, and cost optimization.
• Lead architectural reviews, define data standards, and drive best practices.
• Mentor engineers and collaborate with cross-functional teams (Product, Analytics, DevOps).

Must-Have Skills:

• Strong Python programming for data engineering, automation, and analytics.
• Cloud expertise: AWS (Glue, S3, Lambda, Batch, IAM, ECR, SNS).
• CI/CD, code reviews, and software development lifecycle (SDLC) best practices.
• Experience with data pipelines, ETL/ELT, and batch/streaming processing.

Nice-to-Have Skills:

• Real-time data replication and CDC using Oracle GoldenGate.
• Event-driven streaming with Apache Kafka.
• Observability, monitoring, and alerting for large-scale data systems.
• Serverless architecture and containerization experience.

Job Type: Full-time

Work Location: Remote