Role Overview:

Reporting to the Head of Technology, the Data Engineer will join our growing team and 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, and 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.

Key Duties/Responsibilities

• 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 ORACLE, PLSQL, SQL and ‘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.
• Design short term resolutions to achieve all goals and prepare data roadmap for management.
• Determine procedure to identify and collect all required data, validate process and recommend improvements to corporate data.
• Oversaw and monitor all frameworks to manage data across organization.
• Design and provide support to all data management methodologies according to required standards.
• Coordinate with project supervisors and business heads and manages all projects regarding enterprise data.
• Manage various data associate problems such as system configuration and integration on multiple platforms.
• Provide training to manage various data and ensure enhancement in staff working.
• Develop key metrics for tests on data and ensure integrity of same on data architecture.
• Prepare documents for data architecture and maintain knowledge on large data structure as well.
• Work with the Head of Technology and other Team Leads to design annual technology business plans
• Monitor and identify appropriate equipments, tools and systems to achieve all data technology goals
• 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.

Essential Requirements, Qualification & Experience

• BSc/ BEng, MSc in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Advanced working PLSQL & 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.
• 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 with experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational PLSQL, SQL and NoSQL databases, including Postgres and Cassandra.
• 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.
• Experience with ORACLE, UNIX scripting, etc

Desirable:

• Appropriate Qualifications and or knowledge in Solutions architecting, Solutions development and Data analytics/Reports are desirable
• Knowledge and/or qualification in a recognized IT service delivery framework.