We're seeking a remote Senior Data DevOps Engineer to join our dynamic team for a new project focused on developing and managing data infrastructure in the cloud, primarily using AWS, Azure, or GCP.

In this role, you will be responsible for designing, deploying, and managing data systems, developing automation scripts and workflows for infrastructure provisioning, deployment, and monitoring, and optimizing performance, scalability, and reliability of data platforms and systems.

You will work closely with the data engineering team to ensure efficient data pipelines and processes, automating data workflows using Python. You will also be responsible for setting up and maintaining continuous integration and delivery (CI/CD) pipelines using tools such as Jenkins, GitHub Actions, or similar cloud-based CI/CD tools.

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Responsibilities

Design, deploy, and manage data infrastructure in the cloud, primarily using AWS, Azure, or GCP
Develop and implement automation scripts and workflows for infrastructure provisioning, deployment, and monitoring using tools like Terraform or similar Infrastructure as Code (IaC) tools
Ensure efficient data pipelines and processes, automating data workflows using Python
Work closely with the data engineering team to ensure efficient data pipelines and processes, automating data workflows using Python
Set up and maintain continuous integration and delivery (CI/CD) pipelines using tools such as Jenkins, GitHub Actions, or similar cloud-based CI/CD tools
Collaborate with cross-functional teams to optimize the performance, scalability, and reliability of data platforms and systems
Install, configure, and maintain data tools such as Apache Spark, Apache Kafka, ELK Stack, Apache NiFi, Apache Airflow, or similar tools in both on-premises and cloud environments
Monitor and troubleshoot data systems, proactively identifying and resolving performance, scalability, and reliability issues

Requirements

Minimum of 3 years of experience in data infrastructure management and DevOps
Strong proficiency in Python, and Batch experience
Professional mastery of the Linux operating system
Strong knowledge of Cloud technologies (AWS, GCP or Azure)
Solid understanding of network protocols and mechanisms such as TCP, UDP, ICMP, DHCP, DNS, and NAT
Hands-on experience using or setting up data tools such as Spark, Airflow, R
Proficiency with SQL
Experience with Infrastructure as Code (IaC) tools
Proficiency with setting up and managing CI/CD pipelines using tools like Jenkins, Bamboo, TeamCity, GitLab CI, GitHub Actions, or similar cloud-based CI/CD tools
Experience installing and configuring data tools such as Apache Spark, Apache Kafka, ELK Stack, Apache NiFi, Apache Airflow, or similar tools
Good verbal and written communication skills in English at a B2+ level