Kafka, Redis and Hadoop Developer

Must Have Technical/Functional Skills

Primary Skill: Kafka, Redis, Hadoop, PySpark

Secondary: Python

Experience: Minimum 9 years

Roles & Responsibilities

Bachelor's or Master's degree in Science or Engineering, or a related field.

Minimum of 5 years of industry experience, with at least 3 years focused on hands-on work in Big Data and real-time data processing technologies.

Proficiency in real-time streaming technologies like Kafka (KStreams, KTable)

Proficiency in Hadoop and PySpark

Strong knowledge of NoSQL databases like Redis, MongoDB, or HBase.

Proficiency in programming languages such as Python, Scala, Java, and Bash/Shell Scripting.

Excellent problem-solving abilities and the capability to deliver effective solutions for business-critical applications.

Strong understanding of distributed systems, data partitioning, and fault-tolerant architectures.

Experience with additional real-time streaming technologies like Flink or Storm.

Familiarity with Cloud Technologies such as Azure, AWS, or GCP.

Working knowledge of machine learning algorithms, statistical analysis, and programming languages (Python or R) to conduct data analysis and develop predictive models.

Proficiency in Data Integration and Data Security within real-time and Big Data ecosystems, including knowledge of Kerberos.

Strong command of Visual Analytics Tools, with a focus on Tableau.