Description
Job Title: Data Engineer
Location: Remote
Experience- 4-6 years
Overview /Objective:
We are seeking a skilled 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
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
- Perform comprehensive data profiling on staging datasets to assess completeness, accuracy, consistency, timeliness, a
📌 AWS Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram