• Duties and Responsibilities: 
• ·         Drive the advancement of Enterprise data infrastructure by designing and implementing the underlying logic and structure for how data is set up, cleansed, and ultimately stored for organizational usage
• ·         build robust systems and reusable code modules to solve problems across the team and organization with an eye on the long-term maintenance and support of the application
• ·         Work with the latest open source tools, libraries, platforms and languages to build data products enabling other analysts to explore and interact with large and complex data sets
• ·         Partner with Product Owners and cross functional teams in a collaborative and agile environment
• ·         Design rich data visualizations and interactive tools and solutions to communicate complex ideas to customers and company leaders
• ·         Collaborate across the enterprise to enable and share best practices and reusable and scalable tools and code for our analyst community
• ·         Establish forward looking Data and technology objectives and developing the strategies and actions for the team to achieve them
• ·         Mentor other engineers and develop technical knowledge and skills to keep the enterprise on the cutting edge of technology.
• ·         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 AWS ‘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.
• ·         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.
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• Qualifications and Requirements :
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• ·         Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, Computer Information Systems, Engineering, Communications Technology, or a related field of study
• ·         Six ( 6) years of experience in the position offered or in a related consulting, analyst, or engineer role. Alternately
• ·         The experience must include at least six (6) years of experience working with relational databases and data mining
• ·         Four (4) years of experience with data engineering programming language (e.g. Python, R, Scala, SQL and/or SAS)
• ·         Four (4) years of experience using data visualization tools (e.g. Tableau, d3.js or similar tools), two (2) years of experience with big data
• ·         Two (2) years of experience with Cloud computing and/or DevOps.
• ·         Experience with big data tools: Hadoop, Spark, Kafka, etc.
• ·         Experience with relational SQL and NoSQL databases, including PostgreSQL, MySQL, SQL Server, etc.
• ·         Experience in working with BI tools like Tableau is a plus
• ·         Experience in working with ETL and at least one of their tools (SSIS, Pentaho, AWS EMR, Spark, etc)
• ·         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.
• ·         Fluently in english