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Big Data Engineer


We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Primary Responsibilities include:

  • 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.

  • Build the 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 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 national boundaries through multiple data centers 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.

Desired skills:

  • 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 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.

  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift

  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.

  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

  • 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.

Qualification & Experience:

  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

Key Tasks Include:

  • Using command line tools to perform data conversion and analysis

  • Supporting other team members in retrieving and archiving experimental results

  • Quickly writing scripts to automate routine analysis tasks

  • Creating insightful, simple graphics to represent complex trends

  • Involve in writing linguistic rules to support information extraction and automatic categorization

  • Perform strong NLP tasks like part of speech tagging, named entity extraction and text classification and recognition

  • Hands-on experience with visualization tools like Tableau, QlikView, Qlik Sense and others

  • Collaborate with other Language Engineers and Data Specialists in data analysis and feature design efforts

  • Work with Engineering teams to deploy your solutions into a production environment

About You

  • Excellence in academics with computer science, computational linguistics or information science (or equivalent) background

  • Interest and exposure in the area of natural language processing and information extraction

  • Sound analytical & conceptual skills to understand business needs and apply NLP/analytics solutions to solve specific business problems

  • Familiarity with regular expressions

  • Interested in learning new things

  • To be proactive, flexible and determined, able to work under pressure and to match deadlines.

  • Aptitude to learn, think creatively to solve real world business problems, and work in a global collaborative team environment

  • Good verbal and written English skills.

Behavioural Competences

  • Team player with a ‘can do’ attitude

  • Ability to work in an interdisciplinary and multi-cultural environment

  • High degree of flexibility, independent and proactive working style

  • Ability to work well under pressure and on multiple and conflicting priorities

  • Strong commitment to quality and timely customer service

Interested ? Apply now!

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