Senior Big Data Engineer: Hadoop & Spark Expert

The Timberline Group; St. Louis (MO); On-site; USD 120,000 - 190,000; Full time

Job summary

The Timberline Group seeks a Senior Hadoop Developer to design and optimize data processing applications within our Big Data stack. You will implement data analytics processing algorithms on batch and stream frameworks and collaborate with cross-functional teams to deliver scalable solutions.

Responsibilities include building and tuning Hadoop jobs, designing Hive/HBase schemas, developing Pig and Hive scripts, and deploying API services in Java Spring.

Qualifications

• Minimum requirements:

Responsibilities

• Implement data analytics processing algorithms on Big Data batch and stream processing frameworks (e.g. Hadoop MapReduce, Python, Spark, Scala, Kafka).
• Perform data acquisition, preparation, and analysis leveraging Spark with Scala.
• Load data from diverse datasets and select efficient file formats for tasks.
• Install, configure, and maintain enterprise Hadoop environment.
• Build distributed data pipelines to ingest and process data in real-time.
• Define Hadoop Job Flows and manage Hadoop jobs using Scheduler.
• Review and manage Hadoop log files.
• Design Hive/HBase schemas within HDFS and create tables with suitable formats.
• Mentor Big Data Developers on best practices.
• Develop Pig and Hive scripts with joins on datasets.
• Apply HDFS formats like Parquet, Avro for analytics speed.
• Fine-tune Hadoop applications for performance.
• Troubleshoot Hadoop ecosystem runtime issues.
• Develop and document data integration solutions (batch and real-time).
• Lead technical meetings and communicate clearly to technical and non-technical audiences.
• Implement Spark Streaming and integrate with JMS queue with custom receivers.
• Develop and deploy API services in Java Spring.

Skills

Hadoop

Python

Spark

Scala

Kafka

Java

Spring

Hive

HBase

Pig

JMS

Parquet

Avro

Tools

Spark Streaming

JMS Queue

Parquet/Avro formats

Job description

The Timberline Group seeks a Senior Hadoop Developer to design and optimize data processing applications within our Big Data stack. You will implement data analytics processing algorithms on batch and stream frameworks and collaborate with cross-functional teams to deliver scalable solutions.

Responsibilities include building and tuning Hadoop jobs, designing Hive/HBase schemas, developing Pig and Hive scripts, and deploying API services in Java Spring.