Role Description Responsibilities
* Develop and maintain real-time data pipelines using Apache Kafka (MSK or Confluent) and AWS services.
* Configure and manage Kafka connectors, ensuring seamless data flow and integration across systems.
* Demonstrate a robust understanding of the Kafka ecosystem, including producers, consumers, brokers, topics, and schema registry.
* Design and implement scalable ETL/ELT workflows to process large volumes of data efficiently.
* Optimize data lake and data warehouse solutions using AWS services such as Lambda, S3, and Glue.
* Implement robust monitoring, testing, and observability practices to ensure data platform reliability and performance.
* Uphold data security, governance, and compliance standards across all data operations.



Requirements
* Minimum of 5 years of experience in data engineering or related roles.
* Proven expertise with Apache Kafka and the AWS data stack (MSK, Glue, Lambda, S3, etc.).
* Proficient in coding with Python, SQL, and Java (Java strongly preferred). Person needs to flexible to write code in Python/Java
* Experience with infrastructure-as-code tools (e.g. CloudFormation) and CI/CD pipelines.
* Excellent problem-solving skills and strong communication and collaboration abilities. Skills Python, SQL, AWS CloudFormation, CI/CD

📌 Lead II (Pune)
🏢 UST
📍 Pune