AWS Data Engineer
5 days ago
Work mode: In-office
Job type: Full Time
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 (eg, 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
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