Responsibilites

• Create and maintain optimal data pipeline architecture.
• Analyze and organize raw data.
• Build data systems and pipelines to evaluate business needs and objectives and Interpret trends and patterns.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes to Assemble large, complex data sets that meet functional / nonfunctional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with datarelated technical issues and support their data infrastructure needs.
• Collaborate with data scientists and architects on several projects to strive for greater functionality in our data systems

Requirements

• Degree in Computer Science, IT, or a similar field; a Master’s is a plus,
• Data engineering certification is a plus
• Technical expertise in data models, data mining, and segmentation techniques
• Knowledge of programming languages (e.g. Java and Python)
• Strong analytic skills related to working with unstructured datasets
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Minimum 3-5 years as a data engineer or in a similar role