Lead Software Engineer

Bachelor’s degree in Data Science or Computer Science
Five (5) years of progressive post-baccalaureate experience as a Data Engineer, Software Engineer, or related
Five (5) years of experience with designing and deploying automated data pipelines and ETL solutions using AWS or Google cloud platform
Five (5) years of experience with developing Tableau dashboards to visualize metrics for stakeholders
Five (5) years of experience with automating data pipelines with Kafka, Hadoop, Hive and Apache Spark
Five (5) years of experience with implementing cloud based ETL solutions using Airflow
Five (5) years of experience with integrating data from structured and unstructured systems like Mainframe, Relational databases, Parquet and flat-files
Five (5) years of experience with scripting in Python, SQL and running ML pipelines using Jupyter Notebook

Design, develop and maintain a scalable Datawarehouse, metadata system and build data pipelines for SMB data using cloud technologies
Build and maintain real-time and batch data pipelines
Integrate multiple data sources to enhance Business Intelligence and decision making capabilities
Build reusable data frameworks and services that adhere to industry standards
Lead migrations, optimize data analysis, and enable Machine Learning applications
Collaborate cross-functionally with engineering and product teams to develop long-term solutions that improve analytics and customer experience
Mentor other engineers by providing guidance on development best practices, reviewing code, and fostering collaborative development environment

No preferred qualifications provided.