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Kafka Redis Hadoop Developer

  • Kafka Redis Hadoop Developer job type Posted on: Oct 26, 2026
  • Kafka Redis Hadoop Developer experience level SFE
  • Kafka Redis Hadoop Developer employment type Newark, Delaware
  • Kafka Redis Hadoop Developer salary Salary: $115,000 per year
  • Kafka Redis Hadoop Developer employment type Onsite
  • Kafka Redis Hadoop Developer salary Full-time

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Job Title :

Kafka Redis Hadoop Developer

Job Type :

Full-Time

Job Location :

Newark Delaware United States

Remote :

No

Jobcon Logo Job Description :

Section

Details

Job Title

Kafka, Redis & Hadoop Developer

Job Type

Fulltime permanent

Client Location

Newark, DE/ Pennington, NJ /Charlotte, NC / Atlanta, GA / Addison, TX & Plano TX

Work Arrangement

5 days onsite every week from first day of joining

Pay Rate / Salary

$95k - $115k in a year + Fulltime benefits

Job Summary

Must Have Technical/Functional Skills

Primary Skill: Kafka, Redis, Hadoop, PySpark

Secondary: Python

Experience: Minimum 9 years

Roles & responsibilities

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

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.

Jobcon Logo Position Details

Posted:

Oct 26, 2026

Reference Number:

86075-7542

Employment:

Full-time

Salary:

$115,000 per year

City:

Newark

Job Origin:

CIEPAL_ORGANIC_FEED

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Section

Details

Job Title

Kafka, Redis & Hadoop Developer

Job Type

Fulltime permanent

Client Location

Newark, DE/ Pennington, NJ /Charlotte, NC / Atlanta, GA / Addison, TX & Plano TX

Work Arrangement

5 days onsite every week from first day of joining

Pay Rate / Salary

$95k - $115k in a year + Fulltime benefits

Job Summary

Must Have Technical/Functional Skills

Primary Skill: Kafka, Redis, Hadoop, PySpark

Secondary: Python

Experience: Minimum 9 years

Roles & responsibilities

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

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.

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