Everstream Analytics
Everstream Analytics is a leading provider of end-to-end supply chain risk management solutions that enhance global supply chains by making them smarter and more autonomous. The company leverages predictive insights and risk analytics to enable businesses to manage supply chain disruptions effectively, optimize operations, and improve their performance. Everstream Analytics offers a comprehensive suite of services, including actionable intelligence, cybersecurity, ESG & sustainability, weather intelligence, and analytics, tailored for various industries such as automotive, chemicals, energy, food and beverage, heavy equipment, high-tech, industrial manufacturing, life sciences, medical devices, and retail.
AI • Machine Learning • Supply Chain Visibility • Supply Chain Risk Management • Multi-tier Visibility
Lead Data Engineer
January 21
Everstream Analytics
Everstream Analytics is a leading provider of end-to-end supply chain risk management solutions that enhance global supply chains by making them smarter and more autonomous. The company leverages predictive insights and risk analytics to enable businesses to manage supply chain disruptions effectively, optimize operations, and improve their performance. Everstream Analytics offers a comprehensive suite of services, including actionable intelligence, cybersecurity, ESG & sustainability, weather intelligence, and analytics, tailored for various industries such as automotive, chemicals, energy, food and beverage, heavy equipment, high-tech, industrial manufacturing, life sciences, medical devices, and retail.
AI • Machine Learning • Supply Chain Visibility • Supply Chain Risk Management • Multi-tier Visibility
📋 Description
•Management: Manage and grow a remote team of data engineers based in Europe. •Architect Data Solutions: Collaborate with Platform and Data Architecture teams to deliver robust, scalable, and maintainable data pipelines. •Lead Data Initiatives: Lead and own data engineering projects, including data ingestion, transformation, and storage. •Real-Time Data Processing: Develop and optimize real-time data processing pipelines using technologies like Apache Kafka/MSK or similar. •Data Lakehouse and ETL: Design and implement data lakehouses and ETL pipelines using AWS services like Glue or similar. •Data Modeling and Optimization: Create efficient data models and optimize database queries for optimal performance. •Collaborate with Stakeholders: Work closely with data scientists, product managers, and engineers to understand data requirements and translate them into technical solutions. •Mentor and Guide: Mentor junior data engineers and share your expertise. Establish and promote best practices.
🎯 Requirements
•Strong Python Proficiency: Deep understanding of Python, including data manipulation and analysis libraries like Pandas and NumPy or similar. •Data Engineering Expertise: Extensive experience in data engineering, including ETL, data warehousing, and data pipelines. •Cloud Platform Proficiency: Strong knowledge of AWS services, such as RDS, Lake Formation, Glue, Spark, etc. •Real-Time Data Processing: Experience with real-time data processing frameworks like Apache Kafka/MSK. •Database Skills: Proficiency in SQL and NoSQL databases, including PostgreSQL, Opensearch, and Athena. •Data Modeling: Ability to design efficient and scalable data models. •Problem-Solving and Analytical Skills: Strong analytical skills to identify and solve complex data problems. •Collaboration Skills: Excellent communication and collaboration skills to work effectively with cross-functional teams.
🏖️ Benefits
•Impactful Work: Contribute to data-driven decision-making and product innovation. •Collaborative Culture: Work with a talented, passionate team from across the world. •Continuous Learning: Opportunities to learn new technologies and skills. •Competitive Compensation: A competitive salary and benefits package.
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