DATA ENGINEER

Full time

The Person

  • Articulate
  • Energetic
  • Passionate to learn
  • High sense of ownership
  • Ability to work in a fast-paced and deadline driven environment
  • Loves technology
  • Problem solver

The Ask

Skills to work in a challenging, complex project environment

  • Naturally curious and have a passion for understanding consumer behavior
  • High level of motivation, passion, and sense of ownership
  • Excellent communication skills to manage an incredibly diverse slate of work, clients, and team personalities
  • Proficient in multi-tasking, ability to to work on multiple projects in a deadline-driven fast-paced environment
  • Proven ability to work in ambiguity and manage chaos

Qualifications

  • 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 ‘big data’ data pipelines, architectures and datasets.
  • 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 project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/ tools:
  • Big data: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • AWS cloud services: EC2, EMR, RDS, Redshift
  • Stream-processing systems: Storm, Spark-Streaming, etc.
  • Object-oriented/ object function scripting languages: Python, Java, Scala, etc.

Project Delivery skills

  • 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.
  • Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies
  • Build analytics tools that utilise 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/or design teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep our data separated and secure across national boundaries through multiple data centres and AWS regions
  • 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.

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