Vacancy expired!
Your Opportunity
Wealth & Asset Management (WAM) Engineering is part of the Schwab Technology Services (STS) organization which is responsible for company's use of information technology including all communications, operations and client and business applications. WAM Data Engineering is aligned to support the technology needs of Schwab Asset Management (SAM) which is the investment advisor for Schwab's proprietary mutual funds, referred to as the Schwab Funds; and it includes Schwab's exchange-traded funds, referred to as the Schwab ETFs™. With around $8 Trillion in assets under management, SAM is the 3rd largest provider of index funds and the 5th largest provider of exchange traded funds (ETFs). What you are good atAs a passionate, self-motivated individual with Python programming skills we are seeking a data engineer to build high quality, scalable and resilient data systems powered by automated development lifecycle, and CICD. As an engineer understands and help educate others on the merits of highly scalable data processing implementation in a data-centric environment. The Data Technology Team is in the middle of a multi-year effort to build out a strategic Data Platform. As a member of our Scrum team, you are expected to be cross functional to work on any task needed to complete story work. Although this is primarily a data engineer role, and you are required and willing to contribute to any task preventing the team from delivering on team commitments to the business. This may include data mapping, requirements refinement, data validation, documentation, infrastructure tasks, etc. This position will be an integral part of our scrum team and you will work closely with other team members in developing business software solutions. What you haveThis role requires a highly motivated and experienced developer with pride of ownership reflected through clean application design, code quality, a disciplined software development approach, and accountability for delivery. Qualifications & Experience:- Four plus years of experience developing code in Python for data processing
- Hands-on knowledge of working with SQL
- Experience working with SQL and NoSQL databases
- Four years of experience working with data processing pipelines with Apache Spark or Apache Beam etc.,
- Strong knowledge of database development and data testing patterns
- At least three years of experience with designing, implementing, and supporting highly scalable data systems and experience with Google Cloud Platform or AWS or Azure public clouds is preferred
- Experience implementing fully automated data flows including data acquisition, staging, processing, and target consumption tier for analytics, reporting, and AI/ML
- Demonstrate ability to work well independently in a fast-paced, team-oriented environment
- Ability to learn and adapt quickly to new technologies, processes and work independently
- Experience developing distributed data processing pipelines using Apache Spark, Beam, Flink etc.,
- Experience with CICD process and usage of development tools including Visual Studio, PyCharm, Git/Bitbucket/Bamboo, Maven, Jenkins, Kubernetes Nexus etc.,
- Experience with integration and service frameworks (e.g Micro services, API Gateways, Swagger API, messaging hub etc.,)
- Expertise with Microservices and REST based API development
- Four plus years of experience in data modeling, database design techniques (e.g. RDBMS, Document DB, Dimensional modeling, Star Schema, Data Vault, Kimball Model)
- Experience or knowledge of Control M schedulers preferred
- Experience working in an Agile Scrum environment planning and executing with delivery first mindset
- Experience writing code to automate file movement operations over multiple transmission protocols (e.g. SMB, FTP, SFTP, Object store etc.)
- Knowledge and experience with complex XML and XSD data structures including parsers, XPath and XQuery is a plus
- Ability to interact and communicate successfully with business partners and technology teams
- Experience in Investment Management or Financial Services a plus
- Masters or bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or similar area of study
- Shows a commitment to high ethical standards and integrity and demonstrates this through action.
- Lifelong learner who can grasp difficult concepts and complex designs and stays on top of new and emerging technologies
- Inquisitive, analytical, a strategic thinker, proactive and solutions oriented.
- High-energy, positive, entrepreneurial in spirit while goal-oriented and results-driven.
- Self-starter takes initiative and can works independently.
- Well-organized and disciplined with high attention to detail.
- Flexible and adaptable working with various business domains.
- Direct, plain-spoken; conveys a genuine/authentic demeanor.
Vacancy expired!