Job Description :
CANDIDATE PROFILE
Education and Experience
Required:
5+ years professional experience with big data analytics platforms and systems (e.g. Hortonworks)
5+ years professional experience with distributed processing frameworks (Hadoop, Apache Spark, etc
5+ years professional experience with data pipeline and streaming services (Kafka)
5+ years professional experience with cloud computing technology and its concepts (AWS, Azure, GCP)
3+ years professional experience with Database Administration
3+ years experience with business intelligence and BI tools (Power BI, Tableau)
1+ years experience in configuration management tools (Chef, Puppet, Ansible) or infrastructure engineering
1+ year implementing DevOps practices at scale
Experience with algorithms, data structures, complexity analysis, and software design
Experience in one or more of the following: C, C++, Java, Python, Go, Perl, or Ruby
Interest in designing, analyzing, and engineering large-scale distributed systems
Systematic problem-solving approach, coupled with strong communication skills
Ability to work independently and as a member of a greater team, including cross-team activities
Ability to debug and optimize code
Understanding of cloud computing concepts, immutability, and pipeline automation
Experience operating and/or operating within the software development lifecycle (SDLC)
Undergraduate degree or equivalent experience/certification
Preferred:
Experience in container operations (Docker, OpenShift Enterprise, GKE, ECS) and orchestration (Docker Swarm, Kubernetes)
Lead DevOps maturity model through adoption
Experience within development of the complete application stack inclusive of software engineering and systems engineering responsibilities (e.g. full-stack development)
Subject Matter Expert understanding of the realm of Big Data and Business Intelligence (BI)
Big Data Analytics expertise utilizing public cloud native analytics platforms (e.g. Amazon Elastic MapReduce, Google Dataproc, Microsoft Azure HDInsight)
Requirement gathering, validation, fulfillment and change management
Infrastructure operations experience including self-healing autonomy