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.
• Discretionary Annual Incentive.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.

None flagged.