data platform EngineerMSyne Innovations

Your Role Description:
Data Platform Engineer will be responsible for building Enterprise data management platforms both on-premise and in the cloud. It is expected that this engineer will architect and build out the core data platforms for the enterprise. This role will require an advanced skillset across a variety of technologies.
Your Responsibilities; You will never be a routine development for Analytics platform, that's why new generation love it here. Below are wrap-up responsibility
Install and configure Big Data Software Cluster e.g. Cloudera, Spark, Nifi, Machine Learning cluster, Azure HDI, Databricks, AWS EMR, Informatica
Integrate Big Data to Customer Enterprise System e.g. AD/LDAP, Backup and Recovery System, Monitoring System, Enterprise Scheduler System, Load Balance system, BI System, Source system
Performance and workload configure as practice for software product
Platform Security and Data security configuration e.g. Setup User/group permission, Data Protection and masking, Encrypt/Decrypt.
Work with a team of engineers and developers to deliver against the overall technology data strategy
Ensure enterprise data platforms are standardized, optimized, available, reliable, consistent, accessible and secure to support business and technology needs
Understand software product capability
Understand data related initiatives and engineer optimal designs and solutions
Your qualifications:
2+ years in a variety of technology - especially AWS, Big Data, Linux, System
Experience with Cloudera's Data Platform (CDP), Hortonworks Data Platform (HDP), AWS, Azure
Expertise in data related tools including data solutions (i.e., Big Data, Cloud, Informatica etc.)
Experience with Hadoop, NoSQL DBs, Big Data warehouses, and insights on when to recommend a particular solution
Solid understanding of Hadoop technologies (YARN, Hive, MR, Tez, Spark, etc.)
Track record for identifying, architecting and building new technology solutions to solve complex business problems
Capable of working with debugging issues and working with vendors toward effective resolution
Proficient with Unix/Linux (building/assembling packages, shell scripts, configuration management and OS tuning)
Experience with Java, Python and API's
Knowledge of enabling Kerberos and best practices for securing data a plus
Knowledge of container, Docker and Kubernetes