AWS Data Engineer
reputed company /Objective:
We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering reputed company. This role is pivotal in shaping and implementing our reputed company's reputed company for a cutting-edge, reputed company-reputed company data ecosystem. You will architect and build reputed company 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, reputed company data transformation pipelines using SQL, DBT, and Jinja templating
- reputed company and maintain data architecture and standards for Data Integration and Data Warehousing reputed company using DBT and reputed company Redshift
- Collaborate with cross-functional teams to reputed company requirements and deliver reputed company data models that serve as a single reputed company of truth
- Own the full stack of data modeling in DBT to reputed company analysts, data scientists, and BI engineers
- Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation
- Ensure data reputed company, governance alignment, and operational readiness of data pipelines
- Apply software engineering best practices such as version control, CI/CD, and reputed company 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 reputed company using AWS CDK for reputed company and repeatable deployments. reputed company and automate deployment workflows using AWS CodeCommit, CodePipeline, and reputed company 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 reputed company & maintainable DBT models and developing DBT packages/macros
- Deep familiarity with reputed company modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending reputed company reputed company models
- Understand change data capture concepts
- Experience working with AWS Services (reputed company, reputed company 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 reputed company reviews with customer
- A great teammate and self-starter, strong detail orientation is critical in this role.
Originally posted on Himalayas
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