Easy Apply
Easy Apply
As a Big Data DevOps Lead, you will improve Big Data infrastructure efficiency, lead architecture efforts, and provide on-call support for production systems.
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.
- Experience managing Showflake.
• Solid knowledge of Graphite and Grafana. - Python or Perl scripting skills.
- Experience with installing and managing Aerospike.
- DBA experience with one of: PostgreSQL, MySQL, MariaDB.
Top Skills
Aerospike
Ansible
Cassandra
Grafana
Graphite
Hadoop
Kafka
Mariadb
MySQL
NoSQL
Perl
Postgres
Prometheus
Puppet
Python
Saltstack
Scylladb
Shell Scripting
Showflake
Terraform
Similar Jobs at Zeta Global
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
The Senior Analyst will collaborate with clients to drive marketing performance through data insights, utilizing advanced analytics and machine learning techniques.
Top Skills:
PythonSQLTableau
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Analyze and optimize programmatic marketing campaigns by providing actionable insights, strategy consultations, and performance reporting for clients.
Top Skills:
ExcelPowerPointPythonSASSQLTableauVBA
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
The Senior Software Engineer will design and maintain data infrastructure, coordinate with analysts on ETL processes, and collaborate on data products while ensuring data quality and availability.
Top Skills:
AirflowAWSFastapiHivePythonSnowflakeSpark
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
