Lead I - Data Engineering

Pune, Maharashtra, India

3 weeks ago

Applicants: 0

Salary Not Disclosed

3 days left to apply

Job Description

Role Description Job Title: Senior Data Engineer (Kafka & AWS) 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 strong expertise in the Kafka ecosystem, including producers, consumers, brokers, topics, and schema registry. Design and implement scalable ETL/ELT workflows to efficiently process large volumes of data. 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 reliability and performance of data platforms. 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 ? with Java strongly preferred. Experience with Infrastructure-as-Code (IaC) tools (e.g., CloudFormation) and CI/CD pipelines. Excellent problem-solving, communication, and collaboration skills. Flexibility to write production-quality code in both Python and Java as required. Skills Aws,Kafka,Python