Kafka, Redis and Hadoop Developer
Realign Llc
Atlanta, GA, United States
24 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$95,000.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Amazon Web Services
Data Analysis
Microsoft Azure
Big Data
Cloud Computing
Computer Programming
Data Integration
Data Security
Distributed Systems
Fault Tolerance
Apache Hadoop
+17 more
Apache HBase
Python (Programming Language)
Kerberos (Protocol)
Machine Learning
MongoDB
NoSQL
Redis
Scala (Programming Language)
Data Streaming
Tableau (Software)
Visual Analytics
Scripting
Pyspark
Apache Flink
Apache Kafka
Stream Processing
Programming Languages
Requirements
- 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.
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