Loopio
Loopio is a powerful AI-driven platform that streamlines the response process for Requests for Proposals (RFPs), Security Questionnaires, and Due Diligence Questionnaires. It empowers teams to create accurate and timely responses with its centralized content library and collaborative features, helping businesses respond strategically to opportunities. With Loopio, organizations can automate complex workflows, enhance collaboration, and improve the quality of their proposals, significantly increasing win rates and overall productivity.
Proposal Management Software • Proposal Software • RFP Response • Sales Effectiveness • Proposal Writing
Senior Data Engineer
February 19
Airflow
Amazon Redshift
AWS
Cloud
Docker
ETL
Jenkins
Kubernetes
MySQL
NoSQL
PySpark
Python
PyTorch
Spark
SQL
Tableau
Tensorflow
Loopio
Loopio is a powerful AI-driven platform that streamlines the response process for Requests for Proposals (RFPs), Security Questionnaires, and Due Diligence Questionnaires. It empowers teams to create accurate and timely responses with its centralized content library and collaborative features, helping businesses respond strategically to opportunities. With Loopio, organizations can automate complex workflows, enhance collaboration, and improve the quality of their proposals, significantly increasing win rates and overall productivity.
Proposal Management Software • Proposal Software • RFP Response • Sales Effectiveness • Proposal Writing
📋 Description
• Seeking a data-driven individual to join the Strategic Insights team • Responsibilities include building and evolving data platforms and ETL pipelines • Promote data-driven decision-making across the organization • Integrate various data sources into our Data lake • Develop and maintain feature store for analytics & modeling • Collaborate with data scientists to create predictive models • Build scalable data pipelines using Databricks and AWS • Build and support Loopio’s data warehouse and data lake
🎯 Requirements
• 4+ years of experience as a Data Engineer • Strong understanding of database concepts, modeling, SQL, query optimization • Experience developing in Python and Pyspark • Hands-on experience with AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS) • Strong understanding of relational databases (RDS, MySQL) and NoSQL • Experience with ETL & Data warehousing, building fact & dimensional data models • Experience with data processing frameworks such as Spark / Databricks • Experience in developing Big Data solutions • Experience with CI/CD tools (Jenkins) and pipeline orchestration tools (Databricks Jobs, Airflow) • Experience with data visualization and BI platforms (Quicksight, Tableau, Sisense) • Experience working with Clickstream data (Amplitude, Pendo)
🏖️ Benefits
• Health and wellness benefits from day one • MacBook laptop, phone and internet subsidy, work-from-home budget • Supportive culture with opportunities for connections in a remote environment • Participate in townhalls, AMA sessions, and quarterly celebrations
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