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Data Engineer


Job description


We are looking for a Data Engineer to join our growing team of analytics experts who will be responsible for expanding and optimizing our data and data pipeline architecture. 



Job responsibilities


- Work with data and analytics experts to strive for greater functionality in our data systems
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- 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 
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Create and maintain optimal data pipeline architecture


Required qualifications
Required software tools:
- Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc
- Experience with stream-processing systems: Storm, Spark-Streaming, etc
- Experience with Azure, Google Cloud
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
- Experience with big data tools: Hadoop, Spark, Kafka, etc
- Strong project management and organizational skills
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Build processes to support data transformation, data structures, metadata, dependency and workload management
- Strong analytic skills 
- Experience to perform root cause analysis on internal, external data and processes to answer specific business questions and identify opportunities for improvement
- Experience to  build and optimize ‘big data’ data pipelines, architectures and data sets
- Experience of relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and advanced SQL knowledge
 - 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Information Systems or related  field