WHY YOU WANT THIS JOB

We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

REQUIREMENTS

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing Hadoop data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong organizational skills and can work autonomously to provide data solutions
• Experience supporting and working with cross-functional teams in a fast paced environment.
• 3-5 years of experience in a Data Design role, graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Experience in Development Practices and proven methodologies (Agile, Iterative, Waterfall)
• Experience with Cloudera/MapR/Hortonworks Hadoop distributions with a preference on Hortonworks
• Hortonworks certification is a definite asset
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB is an asset
• Experience with Spark is a asset
  CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Extraction, transformation, and loading of data from a wide variety of data sources using SQL and Hadoop technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across the data lake to adhere to industry and regulatory requirements
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Report progress status and issues.
• Apply, and ensure compliance with, all appropriate CN IT standards (e.g. Code quality, Security, Architecture, Project Delivery Methodology, SOX, etc.)