The ideal candidate will be 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, 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.
ESSENTIAL JOB FUNCTIONS :
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 Google 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
Develop and automate large scale, high-performance, scalable platforms (batch and / or streaming) to drive faster analytics and support the operations of the machine learning models in production.
Proficient in Python
Expertise in Big Data Technologies - Hadoop, MapReduce, Hive, Spark and ETL tools
Experience with relational SQL and NoSQL databases
Experience with Google Big Query
Minimum 4 years experience in Software or Data Engineering