Offer summary

Qualifications:

7+ years of experience with Hadoop, preferably Open Source., 3+ years of leadership experience in Big Data, DevOps, SRE, DBA, or development teams., Solid knowledge of NoSQL databases, preferably Cassandra or ScyllaDB., Proficiency in shell scripting and experience with tools like Terraform or Ansible..

Key responsabilities:

Driving improvement of the efficiency of Big Data infrastructure.

Coordinating cross-team infrastructure and Big Data initiatives.

Leading architecture and design efforts related to Big Data.

Ensuring availability, efficiency, and reliability of the Big Data infrastructure.

Zeta cloud-based marketing technology company that empowers brands to acquire, grow and retain customers. We are on a mission to be the preferred software platform for enterprises to accelerate growth and enrich the connections they have with their customers. The Zeta Marketing Platform (ZMP) activates on every online and offline marketing channel (including Email, Connected TV, SMS, Website, Social Media, and more) with sophisticated AI that analyzes billions of consumer data signals to predict consumer intent, personalize experiences, and accelerate growth for brands. The company was founded in 2007 by David A. Steinberg and John Sculley with the vision that data was going to change the way marketers engage with consumers to drive successful business outcomes. Today, Zeta has over 1000 customers across 15 verticals, including financial services, CPG, retail, telecom, automotive, travel & hospitality, and more. We have over 1400+ employees around our global offices with our HQ in New York City.

Job description

Summary:

As a Senior or Lead Big Data DevOps Engineer, you will be working with a team responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments.

Main Responsibilities:

• Driving improvement of the efficiency of Big Data infrastructure.

Coordinating cross-team infrastructure and Big Data initiatives.
Leading Big Data – related architecture and design efforts.
Ensuring availability, efficiency, and reliability of the Big Data infrastructure.
Building and supporting tools for operational tasks.
• Evaluating, designing, deploying monitoring tools.
Design and implementation of DR/BC practices and procedures.
On-call support of production systems.

Requirements:

• 7+ years of experience working with Hadoop, preferably Open Source.

3+ years of leading Big Data, DevOps, SRE, DBA, or development team.
Experience setting up and running Hadoop clusters of 1000+ nodes.
Solid knowledge of NoSQL databases, preferably Cassandra or ScyllaDB.
Experience running and troubleshooting Kafka.
Working knowledge of at least one of: Terraform, Ansible, SaltStack, Puppet.
• Proficiency in shell scripting.

Nice to have:

• Experience with Prometheus.