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Continental Technology Solutions, Inc

Sr. Big Data Developer

Reposted 2 Months Ago
In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Design, build and configure scalable Big Data applications and ingestion pipelines. Translate requirements into design and code, work with architects and business stakeholders, ensure solutions meet security and data privacy policies, and support CI/Agile SDLC practices while analyzing data stores and Hadoop cluster performance.
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Company Description

Continental Technology Solutions is Our consulting and managed services deliver the resources and capabilities required to assess,design, build and manage an agile, flexible IT environment. You'll work with one dedicated team from strategy and assessment through design, implementation, management and optimisation to reach a true end-to-end solution.

Job Description

Total IT Experience (Yrs) Minimum 7 years
Relevant Experience (Yrs) Minimum 3 Years
Technical/Functional Skills (in priority order) Mandatory Skills –
    3+ years of experience on distributed computing and multithreading
    5+ years of experience on core java and 2+ years on java 8.0
    2+ experience on Spark, Scala, Data Torrent, HBase, Hive, HDFS, Sqoop, PIG, MapReduce
    5+ years of experience with RDBMS and SQL;
    Strong SDLC experience in a collaborative team environment using Agile methodology
    Understanding of high performance and large Hadoop clusters
Generic Managerial Skills     Effective communication skills – Direct Customer Interaction is preferred
    Excellent verbal and written skills with business leaders are expected
Roles & Responsibilities     This position will also work closely with business, architects and other development teams.
    Participate in designing, building, installing, configuring applications that lend them to a continuous integration environment.
    Translate functional and technical requirements into detailed design and code.
    Participate in analysis of data stores and create ingestion plan is required
    Ensures solutions developed adhere to security and data privacy policies.

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