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Hadoop Admin (Kafka)

TWO95 International, Inc
Newark, NJ, United States
3 months ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
juju.com

Tech stack

Apache Hadoop Performance Tuning Data Ingestion Apache Spark Apache Flume Apache Kafka

Requirements

Requirement:

  • A Hadoop Admin (Kafka) is responsible for implementation and ongoing administration of Hadoop infrastructure including designing, deploying, monitoring, tuning and troubleshooting.

  • Experience implementing data ingestion solutions using Flume, Kafka, Spark

  • Strong knowledge of key scripting and programming languages

  • Good communication skills

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This job is hosted externally. Click below to view the full posting and apply.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

3:55 min

Infrastructure challenges when combining Kafka with Apache Flink

Bobur Umurzokov · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

1:39 min

Defining Apache Kafka and its primary real-time use cases

Lucia Cerchie · LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

Videos

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Let's Get Started With Apache Kafka® for Python Developers thumbnail
38:50
LIVE • over 3 years ago

Let's Get Started With Apache Kafka® for Python Developers

Lucia Cerchie

How to Benchmark Your Apache Kafka thumbnail
35:27
LIVE • almost 6 years ago

How to Benchmark Your Apache Kafka

Kirill Kulikov

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Tips, Techniques, and Common Pitfalls Debugging Kafka thumbnail
54:29
LIVE • over 2 years ago

Tips, Techniques, and Common Pitfalls Debugging Kafka

Developersteve

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

Building the platform for providing ML predictions based on real-time player activity thumbnail
30:57
World Congress 2024 • about 2 years ago

Building the platform for providing ML predictions based on real-time player activity

Artem Volk, Fabian Zillgens

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