Kafka, Redis And Hadoop Developer

We are seeking an experienced Kafka, Redis, and Hadoop Developer with strong expertise in big data technologies, real-time data processing, and distributed systems. The ideal candidate will have hands-on experience with Apache Kafka, Redis, Hadoop, PySpark, and Python to design, develop, and maintain scalable, high-performance data processing solutions.

Key Responsibilities

• Design, develop, and maintain real-time data streaming applications using Apache Kafka, including KStreams and KTable.
• Develop scalable big data processing solutions using Hadoop and PySpark.
• Implement and optimize data storage and retrieval using NoSQL databases such as Redis, MongoDB, and HBase.
• Develop data processing and integration pipelines using Python, Scala, Java, and Bash/Shell scripting.
• Build reliable distributed systems with efficient data partitioning, fault tolerance, and high availability.
• Work with streaming technologies such as Apache Flink and Apache Storm.
• Leverage cloud platforms such as AWS, Azure, or GCP for big data processing and deployment.
• Apply data security and integration best practices, including Kerberos authentication.
• Perform data analysis and support predictive modeling using statistical techniques and machine learning algorithms.
• Develop and maintain visual analytics and reporting solutions using Tableau.
• Troubleshoot performance issues, optimize data pipelines, and ensure data quality and reliability.
• Collaborate with cross-functional teams to deliver business-critical data solutions.

Required Skills and Qualifications

• Bachelor's or Master's degree in Science, Engineering, Computer Science, or a related field.
• 9–12 years of overall professional experience in software development and data engineering.
• Strong hands-on experience with Apache Kafka, Redis, Hadoop, and PySpark.
• Proficiency in Python and familiarity with Scala, Java, and Bash/Shell scripting.
• Strong understanding of real-time streaming, distributed computing, and big data architecture.
• Experience with NoSQL databases and cloud-based data processing platforms.
• Knowledge of data security, data integration, and visualization tools such as Tableau.
• Excellent problem-solving, analytical, and communication skills.

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