Job Description: Do you want to be part of a Data Solutions Delivery team managing over 150+ terabytes of data and building the next generation analytics platform for a leading financial firm with over $3.2 trillion in assets under management? At Schwab, the Global Data Technology (GDT) organization governs the strategy and implementation of the enterprise data warehouse and emerging data platforms. We help Marketing, Finance and executive leadership make fact-based decisions by integrating and analyzing data. We are looking for a Data Engineer who has passion for data and comes with data engineering background. Someone who has experience in designing and coding batch as well as real time ETL (and ELT) and one who wants to be part of a team that is actively designing and implementing the Enterprise Data solutions. Someone who wants to be challenged every day and has passion to keep up to date on new technologies in the Data Engineering space, set new standards and collaborate with the team members along the way. Job Responsibilities: You will be a Data Engineer with a large team that includes onshore and offshore developers using best-in-class Big Data and relational Data warehouse technologies including MAPR Big Data environment, Talend, Teradata, Informatica etc. You will be prototyping data solutions to enable faster access to data for the analytics use case developers You will work closely with Marketing and Analytics & Business Insights (ABI) business teams on the implementation of Data Solutions You will be developing re-usable data solution patterns to enable quick to market data assets You will be analyzing & profiling business data on relational and Big Data Environment You will be a liaison between the data SMEs and analytics use case developers to facilitate rapid response from GDT You'll have the opportunity to grow in responsibility, work on exciting and challenging projects, train on emerging technologies and help set the future of the Data Solution Delivery team Total minimum experience of 10+ years in Data / Software engineering. Experience with all aspects of data systems including database design, ETL, aggregation strategy, performance optimization. Minimum 4 Years of experience in traditional Data Warehousing Job Requirements: Hands-on development experience in Informatica 9.x/10.x or any enterprise class ETL tool. Minimum 3 years Understanding of best practices for building and designing ETL code Strong SQL experience with the ability to develop, tune and debug complex SQL applications is required Expertise in schema design, developing data models and proven ability to work with complex data is required Proven experience in working in large environments such as RDBMS, EDW, NoSQL, etc. Hands-on development experience with parallel processing databases like Teradata. Minimum 4 years Hands on experience with programming language Java/Python/Scala Hands-on experience with Linux and shell scripting Hands on experience with CI/CD tools like Bamboo, Jenkins, Bitbucket etc. Qualification & Experience: Experience in Cloud platforms like GCP, AWS. Preferably in Data Warehousing Experience in Google Big Query or Snowflake Experience in Big Data technologies as a Developer Experience developing applications on Big Data platform for both batch and real time ingestion Hands-on experience with massive data processing frameworks like Apache SPARK Knowledge of Big Data ETL such as Informatica BDM and/or Talend tools is preferred Job Details: Company: Charles Schwab Vacancy Type: Full Time Job Location: Westlake, TX, US Application Deadline: N/A Apply Here careersvite.com
Careers Vite – Latest Jobs 2025