Senior Systems Engineer (Big Data)
ARHS
Athens, Greece
πριν από 6 μέρες

Company Description

Arηs is a fully independent group of companies specialized in managing complex IT projects and systems for large organisations, focusing on state-of-the-art software development, business intelligence and infrastructure services.

We are composed of 13 entities across 6 countries that are unified by the Arηs Group, with more than 1750 consultants.

This corporate structure enables us to respond quickly to market changes and customer requests, and to communicate and make decisions without layers of bureaucracy.

Our success can be attributed to the synergy among our nine complementary entities, combined with our methodologies, which are based on the Rational Unified Process (RUP) and the Scrum agile software development framework.

Established in 2016, the Greek entity Arηs Developments Hellas aims to extend Arηs Group activities dedicated to the European market providing high-quality services in Software Development, covering the entire application development lifecycle : starting with user requirements, business process redesign and specifications, to continue with development, testing and application maintenance.

Job Description

Are you a keen problem solver ?

Do you enjoy bridging the gap between development and operations?

We’d like to meet you!

Arhs Developments Hellas is looking for Senior Systems Engineer to join one of our core teams that work for a big project in the Big Data & Data Analytics Department.

You will participate in the deployment and configuration of on-prem and cloud-based data lakes and you will also be responsible for various dev-ops and data-ops implementations.

At the end of your day, you will deploy a mix of open source and commercial platforms and tools such as Hadoop, Kafka, Kubernetes, and non-SQL databases, for building big data clusters.

You must be responsible for installing all the necessary components starting from the operating system, as well as tasks like security hardening, performance optimization, IP L3 network design & configuration etc.

You will work closely with Data Engineering and Data Science teams to build dev-ops and data-ops environments that will seamlessly deploy data applications from development to production clusters.

Qualifications

Computer Science or another equivalent university degree

Proven experience Experienced with Linux OS systems installation

Proven experience of Bash Scripting

Proven experience Linux IP L3 Network configuration

Proven experience with storage systems (such as RAID, Common Storage, NAS, Software-Defined Storage)

Proven experience in Linux Security Hardening and encryption (e.g. data encryption, Kerberos authentication etc.)

Proven experience in Dev-Ops with Kubernetes

Experienced in Hadoop or other big data technology stack

Experienced in Java or Python

Experienced with Kafka

Experienced with Linux High Availability

Bonus skills

Postgraduate degree in Data Analytics

Working experience with building disaster / recovery sites

Working experience with AWS, Azure, Google Cloud

System Administration Certification or experience with Cloudera CDH / CDP

Experience with any of the following Kubernetes platforms : Openshift, Rancher, k0s

Experience with IBM’s Cloud Pack for Data

Experience with DBs like Oracle Exadata, Teradata, Greenplum etc.

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