Position: AWS EMR Hadoop Administrator (47) Poland, Hungary ONLY
Company: Exadel
Category: DevOps
Experience required: 3y
English level: intermediate

In this role, you will help the Customer to transform their business analytics to create best-in-industry analytics capabilities. You will design, build, and maintain the Customer’s big data technologies, specifically providing support for our Big Data System environments. You will work closely with product/project teams, information engineers, and data scientists, as well as other infrastructure support teams.
 
We look for Engineers who, along with having Cloud Administrative experience, also like to learn new tools and technologies in an ever-changing big data landscape. 

**About Our Customer:**
The сustomer is a leading provider of vehicle lifecycle solutions, enabling the companies that build, insure, repair, and replace vehicles to power the next generation of transportation. The company delivers advanced mobile, artificial intelligence, and connected car technologies through its platform, connecting a vibrant network of 350+ insurance companies, 24,000+ repair facilities, OEMs, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective set of solutions inform decision-making, enhance productivity, and help clients deliver faster and better experiences for end consumers. 
 
The сustomer’s company was ranked #17 in the Top 100 Digital Companies in Chicago in 2020 by Built in Chicago, an online community for digital technology entrepreneurs, and was named one of Forbes best mid-sized companies to work for in 2019 – an important accolade and retention tool for the 2,600+ full-time company employees (alongside 350 dedicated contractors).
 
The сompany’s corporate headquarters is in downtown Chicago in the historic Merchandise Mart — a certified LEED (Leadership in Energy and Environmental Design) building that is also known to be a technology hub within the broader metro area.
 
 
**About Our Project: **
The customer has been working on next generation analytics since 2018 and has migrated to cloud big data platform on Amazon EMR. The customer provides software products and services to insurance company, repair shops, OEMs, parts suppliers etc. and has a variety of products in auto physical damage, casualty, telematics and  parts domain. All these applications share data with analytics team to build enterprise data lake which also allows the customer to do next generation analytics on the amassed data

**Project Advantages:**
Cross-product analytics
Analytics for all of the Customer's new products
Quarterly Business Review meetings use data to explain how the Customer’s product is helping clients in their business
You'll get to work with a cross-functional team
You will learn the Customer’s company business
  
**Project Tech Stack: **
Technologies used are all open source: Hadoop, Hive, PySpark, Airflow, and Kafka, to name a few
 
**Project Stage: **
Active Development

**Project Team: **
Three big data platform administrators based in the U.S. (Central Time). This team works together with other product teams to support them

**Meetings:**
Daily stand-ups at 9:30 CT. Bi-weekly 1:1 meeting with the team lead..

**Must Have Qualifications:**
3-5 years of experience on maintaining and administering mid- to large-scale business intelligence environments systems 
Preferred Qualifications:
Knowledge of big data tools (any one of the following: 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:**
Understand the Customer’s business, business systems, and impacts of infrastructure on business operations
Install, maintain, upgrade, troubleshoot, and support cloud-based Hadoop clusters and related components
Ensure cloud-based Hadoop clusters are implemented to meet the Customer's standards and service level requirements
Provide Hadoop problem-solving expertise, identify and mitigate root cause(s) of issues
Provide performance tuning for AWS EMR Hadoop cluster environment
Take responsibility for troubleshooting and development on big data technologies
Document the Customer’s cloud-based Hadoop clusters
Interact with BI team, developers, and architects to ensure big data applications are highly available and performant
Lead and participate in technical incident calls to restore service related to Hadoop environment problems in production environments under time-bound situations
Evaluate and recommend tools as appropriate
Work in a highly collaborative environment
Able to quickly understand both business and technical concepts, innovate, prioritize, and multitask
Technical aptitude and problem solving skills, cooperative approach
Able to self-motivate and self-manage with a high degree of analytical and intellectual curiosity
A strong team member, willing to mentor others and communicate effectively
 
**Advantages of Working with Exadel:**
You can build your expertise with our Sales Support team, who provide assistance with existing and potential projects
You can join any Exadel Community or create your own to communicate with like-minded colleagues
You can participate in continuing education as a mentor or speaker 
You can take part in internal and external meetups as a speaker or listener. We support you in broadening your horizons and encourage knowledge sharing for all of our employees
You can learn English with the support of native speakers
You can take part in cultural, sporting, charity, and entertainment events
Working at Exadel means always upgrading your skills and proficiency, so we provide plenty of opportunities for professional development. If you’re looking for a challenge that will lead you to the next level of your career, you’ve found the right place 
We work hard to ensure honest and open relations between employees and leadership, so our offices are friendly environment