AWS数据工程师

Overview /Objective:
We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ecosystem. You will architect and build scalable data infrastructure that transforms raw data into high-value assets, powering analytics across digital products, fan engagement, and marketing domains. Your work will directly contribute to the development of a world-class customer data platform.
Responsibilities:

• Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating

• Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift

• Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth

• Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers

• Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation

• Ensure data quality, governance alignment, and operational readiness of data pipelines

• Apply software engineering best practices such as version control, CI/CD, and code reviews

• Optimize SQL queries for performance, scalability, and maintainability across large datasets

• Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views

• Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools

• Support Agile development processes and collaborate with offshore teams

Required Qualifications:

• Bachelor's or Master's (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent

• 5+ years of experience in data engineering and analytics on modern data platforms

• 3+ years' extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros

• Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models

• Understand change data capture concepts

• Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift)

• Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD

• Python proficiency or general knowledge of Jinja templating in Python and/or PySpark

• Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer

• A great teammate and self-starter, strong detail orientation is critical in this role.

Originally posted on Himalayas