Big Data Developer - Advanced

Qualifications
Bachelors degree in Computer Science, Engineering, or Information Management (or equivalent)
5+ years of relevant work experience
Professional experience supporting Big Data platform applications and solutions
Hands-on experience with a variety of Big Data (Hadoop / Cloudera, Cloud, etc.)
Experience with object-oriented scripting languages: Java (required), Python (nice to have), etc.
Experience in Big Data, Hadoop, Spark, HDFS, Hive, HBase, Kafka, Impala, Spark, and AWS, EMR
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
Quals--
Primary Manager: Jeremy Weis
Job Title: 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
Client Bank of San Francisco 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 Client System 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.
Key Responsibilities
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
Design, build, and maintain machine learning data pipelines
Maintain security in accordance with Bank security policies
Participate in an Agile development environment
Cloud/AWS is a nice to have