Data Engineer
November 12
Description
• Develop, construct, test, and maintain architectures for data acquisition and develop data set processes • Prepare data for predictive and prescriptive modeling and influence strategic decision-making • Assembling large, complex sets of data that meet non-functional and functional business requirements • Building the required infrastructure for optimal data extraction, transformation, and loading from various data sources, e.g., Internal APIs, Snowflake, Salesforce, etc., using Python airflow pipelines, PostgreSQL, and AWS technologies (S3, Redshift). • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition • Work on making the internal BI pipeline and internal CDP robust and optimizing the infrastructure. • Working with stakeholders, including Customer Success, Marketing, Product, and R&D
Requirements
• 5 - 7 years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools. • Python development skills • Fluent in relational-based systems and writing complex SQL. • Strong analytical and problem-solving skills with the ability to represent complex algorithms in software. • Strong understanding of database technologies and management systems. • Strong understanding of data structures and algorithms • AWS experience is a plus
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