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Senior Big Data (Hadoop) Specialist

Company Name: RBC
Location: Toronto, ON, CANADA
Date Posted: 09th Feb, 2017
Description:
  • Sets technical direction for all development, maintenance and application architecture initiatives ensuring adherence to overall IT architectural and solution direction.
  • Provides leadership on the construction and maintenance of robust and efficient applications and reusable frameworks.
  • Expert consultant on technical and management direction for strategic projects with a focus on the cross-divisional strategies.
  • Provides expert counseling to application development community
  • Researches emerging trends/best practices and determines implications of proposed solutions on meeting business unit strategy.
  • Develops feasibility studies and proposals for senior management and executive decisions on large complex projects.
  • Together with Project Manager, determines best mix of development, interfacing applications, third party vendor solutions to meet business requirements and project objectives.
  • Develops criteria to evaluate 3rd party vendors and software as well as due diligence exercises. (For very complex projects, conducts due diligence; for less complex projects oversees the process.)
  • Key contributor in the creation of technical strategy for applications within RBC IT with the architecture group.
  • Identifies technical and business opportunities to take advantage of cross project knowledge, best practices and reusability to expedite projects.
  • Leads complex group meetings (including business partners) for technical design, decision making, problem solving, implementation and strategic planning.

 

Qualification:
  • Excellent knowledge of Big Data like Hadoop, it’s architecture; technology components across different layers including but not limited to Spark, spark-Streaming, HDFS , Pig; scripting languages Scala, Python etc..
  • Previous experience managing data applications around very large databases (VLDB) (Terabyte/petabyte scale), including no-SQL databases
  • Strong technical background on Enterprise Application, Enterprise Data management and Interoperability.
  • Experience in data modelling as well knowledge of ETL with a variety of data types and sources and can apply ETL on Hadoop
  • Exposure to data governance technologies and Data technologies like data profiling, cleansing, standardization and MDM
  • Exposure to enterprise reporting and analytic tools based on Hadoop/HDFS sourced data like Tableau
  • Familiarity with moving real time data and ensuring proper controls around it
  • Expertise with developing enterprise level solutions using Java technology
  • Knowledge of Lambda Architecture for Big data.
  • Expertise in designing end-to-end application solutions
  • Knowledge of working with Cloud based services for Storage and analytics.
  • Excellent planning, estimating, communication, presentation and leadership skills