Cloud Engineer

Data Engineer (B2toC1)

Responsibilities

• 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
• Expected to build the foundational analytics platform components, manage cloud components and help in designing a cost model to monitor cloud usages
• Contribute and manage design of highly scalable and extensible data platform including but not limited to RDBMS / Big Data / Cloud, which enables industrializing collection, storage, modeling, and analysis of massive data sets from heterogeneous channels

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.
• 2-5 years of experience with solid data engineering skills and an entrepreneurial, hands-on approach
• Hand on knowledge of traditional relational data warehouse technologies, such as Oracle, Teradata, or DB2 SQL, including Analytical SQL functions
• Experience in data modeling, including creating Semantic Layer Data Models, Big data platforms including Hadoop (preferably Azure) and technologies including Spark, Airflow, Kafka, Hbase, Pig, NoSQL, etc.
• Cloud components, including cluster management, Kubernetes, or other containerized services, storage, and workspace management
• Preferred domain expertise in Sports, Retail or Media
• 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