Title:  Apache Kafka Sr. Engineer

Area(s) of responsibility

Skills: Apache Kafka, Debezium, AWS

Experience: 10+ Years

Location: Pune Banagalore

Key Responsibilities

• Pipeline Development: Take ownership of the CDC ingestion framework utilizing Kafka connectors (Debezium, Iceberg sink, S3 sink).
• Containerized Infrastructure Management: Deploy and manage Debezium and Kafka Connect workers using Docker containers orchestrating on AWS ECS (Elastic Container Service) and ECR.
• Data Lake Integration: Manage data ingestion into AWS S3, utilizing Parquet and Apache Iceberg formats.
• Infrastructure as Code: Use Terraform to provision and manage AWS resources supporting the data platform.
• CI/CD: Build and maintain deployment pipelines using GitHub and GitHub Actions.
• Operational Excellence: Monitor pipeline health, troubleshoot connectivity issues, and ensure the reliability of the Kafka ecosystem.
• Optional: Support and optimize workflow orchestration using Airflow where applicable.

Candidate Profile

Must-Have Experience (Non-Negotiable)

• Apache Kafka & Kafka Connect: Multiple years of hands-on experience configuring, deploying, and managing Kafka Connect clusters in a production environment.
• Containerization: Extensive experience with Docker is required. You must be comfortable building images and managing container lifecycles.
• AWS Compute: Proven experience running containers on AWS ECS and managing images via AWS ECR.

Highly Desirable (Strong Plus)

• Debezium: While Kafka Connect experience is a must, specific experience configuring Debezium connectors for various databases (SQL Server, PostgreSQL, etc.) is a massive advantage.
• Streaming: Apache Kafka, Kafka Connect, Debezium

• Compute/Containerization: AWS ECS, AWS ECR, Docker
• Storage/Format: AWS S3, Apache Iceberg, Parquet
• DevOps: Terraform, GitHub Actions
• Languages: Python, Bash
• Optional Orchestration: Apache Airflow