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
If what you read so far excites you about joining us, then we would like you to be already equipped with the following qualifications:
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.
What’s in it for you?