data engineer Westlake, TX
Charles Schwab
Full Time
Westlake, TX
167200 - 81800 USD ANNUAL Today
Job description
Your Opportunity
Do you want to be part of a Business Data Delivery team managing over 430+ terabytes of data and building the next generation analytics platform for a leading financial firm with over $7.3 trillion in assets under management? At Schwab, Data & Rep Technology (DaRT) 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.
You will be working on highly visible Marketing CDW & Big Data projects.
What you’ll do:
- You will be a Data Engineer within a large team that includes full time employees and vendor partners with onshore and offshore developers using best-in-class Big Data and relational Data warehouse technologies including GCP, Big Query, IICS, Talend etc.
- You will be prototyping data solutions to enable faster access to data for the analytics use case developers
- You will work closely with Data Analytics & Insights (DAI) 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 database and Big Query.
- You will be a liaison between the data SMEs and analytics use case developers to facilitate rapid response from DART
- 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 Business Data Delivery team
- Embrace cloud adoption and develop processes to effectively store, manage and deliver data for analytics.
- As part of their role, data engineers are responsible for reducing manual data work and improving productivity. They employ innovative tools, techniques and architectures to automate common, repetitive, and tedious data preparation and integration tasks.
What you have
Requirements:
- Total minimum experience of 6+ years in Data / Software engineering.
- Minimum of 5+ years 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
- Experience with all aspects of data systems including database design, ETL, aggregation strategy, performance optimization. Minimum 4 Years of experience in traditional Data Warehousing
- 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
- Knowledge of Big Data ETL such as IICS, IPC and/or Talend tools is preferred
- 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.
- Proven experience in working in large environments such as RDBMS, EDW, NoSQL, etc.
Highly Preferable:
- Experience in Cloud platforms like GCP or AWS. Preferably in Data Warehousing
- Experience in Google Big Query or Snowflake
- Experience in Big Data technologies as a Developer preferably GCP.
- Experience with all aspects of data systems including database design, ETL, aggregation strategy, performance optimization. Minimum 5 Years of experience in traditional Data Warehousing, preferably IICS.
- Hands-on development experience in Informatica 9.x/10.x or any enterprise class ETL tool.
- 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.
Charles Schwab
https://www.schwabjobs.com/
Westlake, TX
Walt Bettinger II
$10+ billion (USD)
10000+ Employees
Company - Public
Investment & Asset Management
1973
