Senior Big Data Engineer - Spark, Hadoop & ML (Contract)

Cygnus Professionals Inc; Palo Alto (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A global information technology firm is seeking an experienced candidate for a role requiring expertise in Java, Spark, and Hadoop, with a minimum of 2 years in distributed systems. Applicants should be U.S. Citizens or authorized to work in the U.S. The position focuses on developing large-scale applications and requires strong knowledge in data modeling and machine learning algorithms. The role offers a potential contract to hire opportunity, with modern development methodologies in a fast-paced research environment.

Qualifications

• Minimum of 2 years experience with distributed systems.
• Knowledge in distributed system design and data pipelining.
• Experience building large scale applications using OO design principles.

Responsibilities

• Work with Hadoop/Spark for distributed computing.
• Convert raw data into structured products.
• Collaborate in a fast-paced, technical environment.

Skills

Java

Spark

Hadoop

Distributed systems

Machine learning algorithms

Agile methodology

Scrum

Parallel processing

Data modeling

Research and analysis

Job description

A global information technology firm is seeking an experienced candidate for a role requiring expertise in Java, Spark, and Hadoop, with a minimum of 2 years in distributed systems. Applicants should be U.S. Citizens or authorized to work in the U.S. The position focuses on developing large-scale applications and requires strong knowledge in data modeling and machine learning algorithms. The role offers a potential contract to hire opportunity, with modern development methodologies in a fast-paced research environment.