Big Data Engineer at SP Software Solutions in Mountain View, CA

Job Description

• Translate business requirements and source system understanding into technical solutions using Opensource Tech Stack, Big Data & Java etc.
• Work with business partners directly to seek clarity on requirements
• Define solutions in terms of components, modules and algorithms
• Design, develop, document and implement new programs and subprograms, as well as enhancements, modifications, and corrections to existing software.
• Create technical documentation and procedures for installation and maintenance.
• Write Unit Tests covering known use cases using appropriate tools
• Integrate test frameworks in development process
• Refactor existing solutions to make it reusable and scalable
• Work with operations to get the solutions deployed
• Take ownership of production deployment of code
• Collaborating with and/or lead cross functional teams, build and launch applications and data platforms at scale, either for revenue generating or operational purposes
• Come up with Coding and Design best practices
• Thrive in self-motivated internal-innovation driven environment
• Adapting fast to new application knowledge and changes

Qualifications

• Master/Bachelor degree in Computer Science, Electrical Engineering, Information Systems or other technical discipline; advanced degree preferred. • Minimum of 2+ years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies. • Minimum 1+ years of experience in Python, Pandas and SQL • Strong knowledge of Database concepts and Python. • Expert on SQL skills for data manipulation (DML) and validation (SQL Server, DB2, Oracle). • Expertise in Object Oriented Programming Language – Java / Python. • Experience using CI/CD Process, version control and bug tracking tools. • Experience in handling very large data volume in low latency and batch mode. • Experience with automation of job execution, validation and compares of the data files on Hadoop Env at the field level. • Experience in leading a small team and be a team player. • Strong communication skills with proven ability to present complex ideas and document in a clear and concise way. • Quick learner; self-starter, detailed and in-depth.

Additional Information

All your information will be kept confidential according to EEO guidelines.