Senior Data Engineer

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October 22

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Insight Value

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Media • Technology

Insight Value is a global Social Transformation company that combines data & analytics, strategy, technology, and creative services to help brands build conversational, socially-driven identities. It offers services including data-driven insights, strategy and implementation, conversational creative, and community/digital neighborhood programs, partnering with major consumer brands and operating across multiple international offices. The firm focuses on making brands relevant and advocated in the social age by blending analytical rigor with creative social campaigns.

2 - 10 employees

Founded 2019

📱 Media

📋 Description

• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse • Build and implement ETL frameworks to improve code quality and reliability • Build and enforce common design patterns to increase code maintainability • Ensure accuracy and consistency of data processing, results, and reporting • Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning • Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources • Guide and mentor other Data Engineers as a technical owner of parts of the data platform

🎯 Requirements

• 7+ years of professional experience • 5+ years of experience working in data engineering, business intelligence, or a similar role • 5+ years of experience in ETL orchestration and workflow management tools like Airflow, flink, etc. using AWS/GCP • 3+ years of experience with the distributed data processing tools like Spark, Presto, etc. and streaming technologies such as Kafka/Flink • 3+ years of experience with SnowFlake (preferred) or another big data database platform • 3+ years of experience with cloud service providers: Amazon AWS (preferred), or one of the other major clouds • Expertise with containerization orchestration engines (Kubernetes) • MS in Computer Science, Software Engineering, or relevant field preferred, BS in one of same fields acceptable.

🏖️ Benefits

• Fully remote workspace • Flexible working hours