Big Data Engineer

Ocelot Consulting; Creve Coeur (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

Ocelot Consulting is looking for a Big Data Engineer to develop innovative software utilizing state-of-the-art big data streaming architectures. The ideal candidate will have extensive experience in distributed platforms like HBASE and Hadoop/Spark, with a strong focus on ETL and database technologies like Postgres and Cassandra.

In addition to core skills, experience with cloud big data technology and API development is highly desired. Join Ocelot Consulting to advance your career in a supportive environment focused on cloud technologies.

Qualifications

• Extensive experience setting up and developing for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, or Cassandra.
• Extensive ETL experience.
• Proficiency in various database technologies including Postgres, Mongo, Cassandra, Elastic Search, Oracle, etc., as well as SQL.

Responsibilities

• Develop innovative software using cutting-edge big data streaming architectures.

Skills

HBASE

Hadoop/Spark

AWS EMR

Cassandra

ETL

Postgres

Mongo

Elastic Search

Oracle

SQL

Docker

Kubernetes

Cloud Foundry

API Development

Job description

Ocelot Consulting specializes in cloud technologies, custom application development and enterprise security. Ocelot Consultants are certified AWS Solution Architects and have experience migrating enterprise applications and data for Fortune 500 companies.

Job Description

As a big data engineer you will develop innovative software using state of the art big data streaming architectures.

Qualifications

Requirements

• Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra
• Extensive ETL experience
• Database Technology - (Postgres, Mongo, Cassandra, Elastic Search, Oracle, etc.) as well as SQL and related query languages

Nice to have

• Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure HDInsight)
• API Development (proper microservice separation, HTTP verb usage)
• DevOps – understanding of OS and Container Management
  • Distributed microservice architectures providing elasticity, redundancy, failover, and intelligent routing.
  • Docker/Kubernetes/Cloud Foundry experience

Additional Information

All your information will be kept confidential according to EEO guidelines.