We are looking for a savvy Data Engineer to join our growing team of analytics experts. The resource 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.
Key Result Areas
• Create and maintain optimal data pipeline,
• 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.
• Keep our data separated and secure
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Build analytics tools that utilize the data pipeline to provide actionable insights into 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.
• Work with data and analytics experts to strive for greater functionality in our data systems
Knowledge, Skills and Experience
Core Skills:We are looking for a candidate with 9+ years of experience in a Data Engineer role. They should also have experience using the following software/tools:• Experience in developing Big Data applications using Spark, Hive, Sqoop, Kafka, and Map Reduce• Experience with stream-processing systems: Spark-Streaming, Strom etc.• Experience with object-oriented/object function scripting languages: Python, Scala etc• Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data• Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.• Experience with Azure cloud services is a plus• Financial Services Knowledge is a plus
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