Principal duties/Roles and responsibilities:
Big Data Engineer Location: Remote is ok during this pandemic situation.
Preferred SF Bay area candidate. We will add more locations as required.
Duration: 12-18 months The client is looking for a Big Data Engineer to
join the Advanced Data and Analytics Capabilities Team. We are a team
based out of San Francisco that partners with business lines across the
client to deliver big data and advanced analytics products and
solutions. In this role, you will have the opportunity to contribute to
several high-quality data solutions and enhance your technical skills
across many disciplines.

• Design, develop, and maintain end to end data solutions using
open-source, modern data lake, and enterprise data warehouse
technologies (Hadoop, Spark, Cloud, etc.)
• Contribute to multiple data solutions throughout their entire
lifecycle (conception to launch)
• Partner with business stakeholders to understand and meet their data
requirements
• Provide ongoing maintenance and enhancements to existing data
solutions
• Maintain security in accordance with Bank security policies
• Participate in an Agile development environment

Required Skills/Must Have:
• Bachelor’s degree in Computer Science, Engineering, or Information
Management (or equivalent)
• 5+ years of relevant work experience
• Professional experience designing, creating and maintaining scalable
data pipelines
• Hands-on experience with a variety of big data technologies (Hadoop /
Cloudera, Spark, Cloud, etc.)
• Experience with object-oriented scripting languages: Java (required),
Python, etc.
• Advanced knowledge of SQL and experience with relational databases
• Experience with UNIX shell scripts and commands
• Experience with version control (git), issue tracking (jira), and code
reviews
• Proficient in agile development practices
• Ability to clearly document operational procedures and solution
designs
• Ability to communicate effectively (both verbal and written)
• Ability to work collaboratively in a team environment
• Ability to balance competing priorities and expectations