Position: Big Data DevOps 47 + Welcome bonus
Company: MR Lab
Category: DevOps
Experience required: 2y
English level: intermediate
Published: 2021-12-01T00:00:00+02:00

Preferred Qualifications:
Knowledge of big data tools (any one of the following or similar tools — HDFS, Hive, Sqoop, Zookeeper, Spark, MapReduce2, YARN, Tez, Kafka , Airflow, Dremio, Presto)
Experience with cloud hosting (preferably AWS)
Experience with Kubernetes or Docker
Experience monitoring cloud based systems

Responsibilities:
Install, maintain, upgrade, troubleshoot & support cloud-based Hadoop clusters and related components based on big data technologies
Ensure cloud-based Hadoop clusters are implemented to meet the Customer’s standards and service level requirements
Provide performance tuning for AWS EMR Hadoop cluster environment
Document the Customer’s cloud-based Hadoop clusters
Interact with BI team, developers, architects to ensure big data applications are highly available and performant.
Participate in technical incident calls to restore service related to Hadoop environment problems in production environments under time-bound situations
Work in a highly collaborative environment
Ability to quickly understand both business and technical concepts, innovate, prioritize and multitask
Self-motivated and self-managed with a high degree of analytical and intellectual curiosity
Ability to be a strong team member and communicate effectively

Company offers:
Vacation is 20 working days / till 20 working days per year for sick leaves
Full payment of taxes
English courses
Flexible work schedule
Friendly environment
Medical insurance

About the Customer:
The customer is an American company based in Chicago with more than 40 years of experience in the P&C insurance industry. The customer moved to the cloud in 2003, and it began using its first ML algorithms as early as 10 years ago. The company accelerates digital transformation for the insurance and automotive industries with AI, IoT, and workflow solutions.

The core product is a comprehensive SaaS platform that consolidates about 30,000 stakeholders, namely insurance companies, repair facilities, auto manufacturers, lenders, fleets, and everyone involved in resolving critical moments following an accident.

About the Project:
The customer has been working on an analytics platform since 2018. The platform is on Hadoop and the Hortonworks Data Platform, and the customer is planning on moving it to Amazon EMR in 2021. The customer has a variety of products, the data for all of which comes into one data lake on this analytics platform, which also allows the customer to do next generation analytics on the amassed data.

Project Tech Stack:
Technologies used are all open source Hadoop, Hive, PySpark, Airflow, Kafka to name a few

Project Team:
3 Big Data platform administrators based in the US (Central Time). Onsite Senior Big Data administrator will mentor the newcomer and bring him up to speed. This team works together with a lot of other product teams to support them.

Project Stage:
Active Development

Project Advantages:
Working with and learning from experienced onsite big data platform administrators
Analytics for every new product customer has. Analytics team products is how the customer sells the products value to clients
Seeing the impact of your work — Quarterly Business Review meetings use data to explain how customer’s product is helping clients in their business