Data Engineer-Data Management and Analytics-Data Ops/Data Analyst
2 weeks ago
Responsibilities
· Collaborate with client stakeholders to analyze and synthesize the client data to meet the business objective, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements.
· Leverage best practices and industry leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers.
· Design data models and solutions for analytical and reporting use cases.
· Build and maintain scalable data transformation workflows in dbt (data build tool) and Snowflake, ensuring clean, consistent, and well-modeled data sets that serve as the foundation for analytics and reporting.
· Implement data quality testing, documentation, and version control within dbt to enforce best practices in data governance and maintain transparency across the analytics lifecycle.
· Develop efficient, reusable data pipelines and Tableau use case layers that enable cross-functional teams to perform self-service analytics and advanced data exploration with minimal engineering dependency.
Qualifications
· Master's or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement.
· 3-5 years of experience with solid data engineering skills.
· Hands-on knowledge of traditional relational data warehouse technologies, such as SQL (including Analytical SQL functions), dbt (data build tool), Tableau, Python/Pyspark.
· Experience in data architecture and data modeling, including creating Semantic Layer Data Models.
· Preferred expertise in Sports industry.
· Experience in Machine Learning or NLP, such as Scikit-Learn, SpaCity, Pytorch, or Spark NLP is desirable.
· Prior experience in management consulting and/or analytics based consulting is desirable.
ResponsibilitiesDesign and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.
QualificationsBachelor's/Master's in Engineering 2-5 years
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