REEF transforms urban spaces into community hubs that create jobs and bring new goods, services and experiences to the neighborhood. With an ecosystem of 5,000 locations and a team that’s over 18,000 strong, REEF is the largest operator of parking real estate and delivery restaurants in America, Canada and the UK with a growing presence across Europe. By connecting the world to your block, we’re making the place you live, the place you love to be.
What You’ll Do
• 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 ingestion technics and AWS technologies. • In-depth technical knowledge and hands-on experience in the areas of Data Management, BI Architecture, Product Development, RDBMS and non-RDBMS platforms. • Work with stakeholders including internal and external 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.
What We Want From You
We are looking for a candidate with 5-6 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science or another quantitative field. They should also have experience using the following software/tools: • Experience with relational SQL and NoSQL databases, including redshift, Postgres and Cassandra. • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. • Experience with AWS cloud services: EC2, EMR, RDS, Redshift, ECS • Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. • Familiar with data platform like Cloudera, DatabricksAdvanced 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 with big data tools: Hadoop, Hdfs, Spark, Hive, Sqoop, Kafka, Yarn, Zookeeper etc. • Experience in Scala, Python, pySpark, Java, Rest API, Microservices etc. • 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 structure and 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 very fast dynamic environment.
REEF Technology is an equal opportunity employer, and we value diversity at our company. REEF does not discriminate on the basis of race, religion, colour, sex, national origin, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. REEF complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.