Lead Big Data Engineer

Lead Big Data Engineer - INF001420

• Drive strategy to integrate data and Collaborate with vendors as well as the operational team to administer our Customer Experience Platform data lake.
• Analyze, identify, and establish existing processes for assembling and updating data elements.
• Develop logical and physical data models for Big Data platforms.
• Provide mentorship and set standards for teams to write data pipelines and build data repositories using current technologies.
• Monitor and optimize performance of Big Data platforms.
• Research/sustain proficiency relevant to current technology to maintain and/or improve functionality for Engineering organization's Big Data applications.
• Represent both IS and Engineering teams in architecture and solution discussions related to Big Data systems.
• Plan and Coordinate ongoing maintenance and improvements to existing Big Data systems.

• Bachelor's degree in Engineering, Computer Science, Information Technology or related field, or equivalent work or military experience.
• Minimum 8 years of demonstrated ability in data, categorization, and policy related business positions.
• 3 years' experience with Big data related principles, practices, and procedures.
• 3 years of Data Management experience (SQL, NoSQL, ETL and metadata management).

• Experience with application development and implementation.
• Experience with Agile methodologies including Scrum.
• Ability to present at the executive level as well as to highly technical individuals.
• Experience with Big Data Platform (Hadoop, Hive, Spark, Hue, Sqoop etc.)
• Experience with RESTful API, Services.
• Experience with Open Database Systems (Postgres, MongoDB, Citus, etc.)
• Experience with Linux systems and scripting languages.
• Experience with functional programming (Scala, Python).