Company Overview:
Coders Brain Technology Pvt. Ltd. is a leading IT Services and IT Consulting company operating in India. We specialize in providing innovative solutions to our clients in various industries. Our team of talented professionals is dedicated to delivering high-quality services and ensuring customer satisfaction.
Role and Responsibilities:
We are currently seeking a Kafka Data Engineer for a full-time remote role. As a Kafka Data Engineer, you will be responsible for building and maintaining high-performance distributed data pipelines utilizing Apache Kafka. You will work closely with data architects and software engineers to ensure the robustness, correctness, and recoverability of data pipelines. Your primary tasks will include incorporating scalable techniques to manage large amounts of data, accessing various data sources, and implementing Kafka producers and consumers.
Candidate Qualifications:
To be successful in this role, you should have the following qualifications:
- Strong proficiency with Apache Kafka, including Kafka Connect, Kafka Streams, and Kafka Security.
- Experience with various data storage systems and data formats, such as AWS S3, Hadoop, Avro, and Parquet.
- Experience with big data processing frameworks, including Spark.
- Experience developing solutions utilizing Java, Python, and Scala.
- Strong experience with SQL and NoSQL databases.
- Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
- Excellent communication and collaboration skills with the ability to work effectively in a remote environment.
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform is a plus.
Required Skills:
- Apache Kafka
- Data storage systems and data formats
- Big data processing frameworks
- Java, Python, and Scala
- SQL and NoSQL databases
If you are a highly skilled and motivated individual looking for an exciting opportunity to work with cutting-edge technologies, please apply now. We offer competitive compensation packages and a flexible work environment.
