Solutions Architect - Big Data (Healthcare) - 1 year contract

Solutions Architect - Big Data (Healthcare) - 1 year contract

Black Pearl
1-4 years
Not Specified

Job Description


Our client who is a leading IT consulting firm based in Abu Dhabi is looking to hire an Solutions Architect - Big Datato work on a project within health care industry.
Please note this role is on a 1 year contract basis and will need the candidate to be based in Abu Dhabi.
Candidates from outside UAE are welcome to apply as long as they have relevant industry experience and short / no notice period.
As aBig Data Solution Architect you will be responsible for preparing the vision and solution outline for client engagements on Bigdata projects. Provides functional, technical and architectural leadership in creating and improving the design of Big Data and BI systems.
This position works closely with engagement managers and project managers to ensure the successful delivery of engagements for clients. Leads client assessments, preparing current state and future state architectures along with go forward recommendations.
Will work with the practice leads and account management team to develop statements of work, implementation plans, resource plans and project estimates.
Ideally you will be someone who as well as having a solutions architect background, also has a good grounding and hands on experience in setting up Big Data Platforms.
Key Responsibilities
  • Assist the team on Business Analysis, Requirements Gathering, Data Analysis, Data Modeling, Project Management, Project Estimation
  • Define, Design and develop services and solutions around large data ingestion, storage and management such as with RDBMS, No SQL DBs, Log Files, and Events.
  • Work with third-party and other internal providers service to support a variety of integrations.
  • Define, Design and run robust data pipelines/batch jobs in a production environment
  • Architecting highly scalable, highly concurrent and low latency systems
  • Working with product teams on a range of tools and services, improving products to meet user needs.
  • Participating in sprint planning to work with developers and project teams to ensure projects are deployable and monitorable from the outside.
  • As part of the team you may be expected to participate some of the 2nd line in-house support and Out-of-Hours support. . Proactively advise on best practices.
  • Assist in budgeting process.
  • Excellent written and spoken communication skills an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences including senior executives, business, architecture governance bodies and IT delivery Ability to work globally and across cultures

Requirements
Educational Qualification
  • Degree in Computer Science, Software Engineering or related preferred
  • Minimum 10 years experience

Essential Skills
  • Experience of big data environments (also advising best practices/new technologies to Analytics team)
  • Proven track record architecting and implementing large scale Data programs end-to-end
  • Expert in designing and implementation of Big Data solutions (Spark, Hadoop ecosystem, Nifi,Kafka, NoSQL databases and Document DBs) and data architecture patterns (data warehouse, data lake, streaming)
  • Expert in full range of data engineering approaches, covering theoretical best practices and the technical applications of these methods
  • Knowledge of AI ML.
  • Able to understand Cluster administration, troubleshooting issues . Experience as Solution Architect for large scale Analytics, Insight, Decision Making and Reporting solutions, based on Big Data technology
  • Experience configuring and managing Linux servers . In depth knowledge of Hadoop technology ecosystem - HDFS, Nifi, Spark, Hive, Impala, Hbase, Kafka, Flume, Sqoop, Oozie, SPARK, Avro, Parquet
  • Experience debugging a complex multi-server service. . In depth knowledge and experience in IaaS/PaaS solutions (eg AWS Infrastructure hosting and managed services)
  • Familiarity with network protocols - TCP/IP, HTTP, SSL, etc.
  • Understanding continuous integration and delivery.
  • Experience working in an agile environment.
  • Knowledge of the use of version control systems such as git or subversion.

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