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Big data Developer at Houston, TX at Houston, Texas, USA
Email: [email protected]
From:

Vinkal Dhaka,

Siri Info

[email protected]

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Big Data Developer 

Houston, TX (Onsite)

Contract

JD:

Advanced programming skills in Java/Scala/Python with a focus on Spark and Flink for large-scale data processing.

Strong understanding of the Cloudera suite, including in-depth knowledge of data management and processing services.

Proficient in building applications with Spring-Boot and Flask, with experience in creating RESTful services.

Experience with scripting and automation in a Linux environment, along with expertise in shell scripting.

In-depth knowledge of SQL, HQL, and the ability to perform query optimization on big data sets.

Proficient in Kubernetes, including deploying applications in OpenShift or other Kubernetes environments.

Familiarity with Neo4j or similar graph database technologies, and the ability to integrate them into big data solutions.

Experience with Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning is highly desirable.

Experience in RAPIDS & GPU-Aware Scheduling.

Knowledge of data modeling, data access, and data storage techniques for big data environments.

Proficient in integrating Kerberos authentication within big data applications for secure access and communication with big data services. Capable of scripting and automation to manage Kerberos ticket lifecycles, renewals, and troubleshooting common Kerberos issues in a development environment.

Skilled in implementing and managing security protocols for data in transit, including setting up and configuring TLS for secure data transfer within big data solutions. Knowledgeable in encryption standards and tools for encrypting data at rest, and understanding of key management systems and cryptographic practices to ensure data privacy and regulatory compliance

Thanks.

Vinkal Dhaka

Siri Info Solutions Inc

Desk-848-249-8318 , Ext-3951

Email :[email protected]

Keywords: Texas
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Fri Dec 01 00:07:00 UTC 2023

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