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Big Data Engineer - Support

Riversand Technologies is a Master Data Management (MDM) visionary and a Product Information Management (PIM) leader. We are a team of passionate people who are rethinking the industry’s approach towards MDM and PIM and are committed to developing innovative solutions which transform the way our clients do business. Riversand serves the world’s largest enterprises, in a variety of industries including Retail, Manufacturing, Distribution, Energy, Healthcare, and Food Services. We are undergoing a significant period of growth and we are currently looking for a Big Data Engineer with a diverse professional experience to expand our data management team of experts.

Your primary purpose will be to manage data at scale. You will be an integral part the big data team responsible for collecting, storing and archiving a large amount of data. You will monitor and troubleshoot, detects anomalies, plan for capacity and report to the team and management. Since you will be serving organizations who work with massive amounts of data, our technologies must scale fast to meet the growth requirements of our clients. Furthermore, you will be working in a diverse cultural environment and collaborating with creative minds from all over the world.

To be successful in this role you have to be a proactive individual, with excellent analytical and problem-solving skills and a track record of taking complex concepts and implementing practical solutions. We are looking for quick learners who can work efficient individual contributor and also collaborate with a team.

Here are some of your responsibilities. We are interested in knowing what else you can add to this

  • Design and build scalable, reliable, easy to use big data infrastructure, pipelines and data systems
  • Roll out new tools and features on existing big data storage, processing, and machine learning systems
  • Triage, identify and fix scaling challenges
  • Perform cost-benefit analyses of short-term needs vs long-term data scaling and company growth
  • Educate product managers, analysts, and other engineers about how best to use our systems to answer hard business questions and make better decisions using data
  • Contribute to the efficiency, effectiveness, and improvement of best practices as a thought leader.

If what you read so far excites you about joining us, then we would like you to be already equipped with the following qualifications:

  • Bachelor’s or Master’s in Computer Science, Engineering Mathematics or related degrees
  • Hands on programming experience with Java/Scala/C++/Python as well as shell scripts
  • Experience in security implementation across entire Hadoop stack. Good understanding of streaming technologies and real time analytics. Working knowledge of maintaining and troubleshooting big data technology clusters and Docker technology
  • Working knowledge of multi threaded applications
  • Expertise in ETL techniques and frameworks, messaging and queuing systems like Kafka or RabbitMQ, DevOps tools (GitHub, TravisCI, Jira) and methodologies (Lean, Agile, Scrum, Test Driven Development)
  • Curiosity to investigate datasets and use advanced statistics, ML to generate new insights
  • Ability to be successful in a start-up like environment, with minimum supervision and obsessed with delivering best quality products and service.
  • Collaborate with global product management, developer and designer teams

We prefer that you are actively contributing to the open source community Knowledge of Horton Works, Cloudera Platforms, and others. Prior experience at a SaaS provider hosted on AWS, Azure or other cloud providers will be a plus. * Experience with cloud scale application architectures is a plus

These are the list of the tools we use today:

Elastic Search and in Apache ecosystem - Kafka, Storm, HBase, Hadoop, Spark, Zookeeper.
HTML5, CSS3, CSS LESS or SASS frameworks, Object Oriented JavaScript, AngularJS or Polymer or Ember, NodeJS, Gulp/Grunt, Twitter Bootstrap or any other CSS framework

What’s in it for you?

  • We foster a Collaborative work environment. You will enjoy learning  with other creative and analytical minds
  • We provide an opportunity for you to experiment and fail fast
  • We want to make sure you get a competitive compensation and benefits
  • Riversand client roster features high profile enterprises which will provide you with industry-specific insights into data management and analysis
  • Beyond work, we compete at local 5ks, 10ks and have fun at various sporting events.
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