Position: Middle/Senior Big Data Engineer (Hadoop)
Company: Provectus
Category: Data Engineer
Experience required: 2y
English level: intermediate

At Provectus, we are obsessed with technologies that impact the future of the whole of humanity. Just imagine: AI for curing eye diseases, ML for making factories safe for workers, preventing pandemic spreading, etc. It’s not about the future, it’s about the products we’ve already developed with #ProvectusTeam.

What is required:
 - 3-4 years of experience with large scale Hadoop environment build and support including design, capacity planning, cluster setup, performance tuning, and monitoring;
 - Strong understanding of Hadoop ecosystems such as HDFS, MapReduce, HBase, Zookeeper, and Hive;
 - 2-3 years of experience with Cloudera Distribution of Hadoop (CDH);
 - 2-3 years of experience with AWS;
 - Experience with disaster recovery and business continuity practices in Hadoop stack;
 - A deep understanding of Hadoop design principles, cluster connectivity, security, and the factors that affect distributed system performance;
 - Experience with Impala and Hive;
 - Experience maintaining, troubleshooting, and setting up large clusters;
 - Thorough knowledge of current hardware systems commonly used in production environments;
 - Ability to proactively identify, troubleshoot, and resolve production systems issues;
 - Technical documentation skill on supported application and Operational tool;
 - Strong knowledge of Hadoop monitoring tools.

Good to have:
 - Experience with Node js, Java, SQL, and UNIX tools and UNIX shell scripting is a huge plus;
 - Experience with Salt for configuration management;
 - Experience with RunDeck and NewRelic for job orchestration and monitoring;
 - Experience with RHEL 5 or 6 Linux.

What we offer:
 - Attractive professional and educational opportunities, a competitive salary, and fun colleagues who make every online and offline event a treat.
 - Find out more about our company: provectus.com.

Responsibilities:
 - Setting up and maintaining Hadoop infrastructure;
 - Creating new infrastructure for aggregating Big Data in AWS EMR.

Your first project could be a blockchain platform for the Fintech unicorn startup that has already achieved revenue $26 billion. This platform is used by retail, commercial customers, and global financial institutions. A platform offers connections to hundreds of financial institutions around the world via a single API and makes moving money faster, cheaper, and more reliable. Provectus helps our client to build Data Engineering, ML solutions and get even more benefits from aggregating Big Data information.

We are waiting for you to become a part of our team!