Everstream Analytics

👥 251-500💰 $50,000,000 Series B almost 2 years agoProductivity ToolsArtificial Intelligence (AI)LogisticsMachine LearningRisk ManagementAnalyticsSupply Chain ManagementProcurement💼 Private Company
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Everstream Analytics empowers global companies to build resilient and agile supply chains by providing actionable risk insights. We leverage advanced analytics and proprietary intelligence to deliver end-to-end visibility, helping clients protect revenue and reputation. Our platform integrates seamlessly with existing procurement, logistics, and business continuity systems, providing real-time monitoring and predictive analytics across the entire supply chain. We're a data-driven organization using machine learning, AI, and a robust tech stack to process and analyze vast quantities of global data. Everstream's unique value proposition lies in our ability to combine cutting-edge technology with deep industry expertise and multilingual specialists. We're trusted by leading global brands such as Google, Schneider Electric, Unilever, and Campbell’s, consistently exceeding expectations and delivering measurable results. Our company culture is defined by audacious goals, unwavering grit, unyielding optimism, strong virtue, and a collaborative spirit. We're a rapidly growing company with a significant Series B funding round, fostering a dynamic environment that embraces innovation and continuous learning. Our engineering team operates with a focus on agility and collaboration, utilizing modern technologies including [inferring technologies from Crunchbase data: Amazon EC2, Google Analytics, HTML5, Cloudflare CDN, Google Maps API, Google Fonts, Google Tag Manager]. We maintain a 100% remote work policy and have a globally distributed team, offering flexible work arrangements to employees worldwide. Everstream's commitment to innovation is further evidenced by our recent acquisition of BlueNode and recognition as a leading technology provider in the food chain industry for three consecutive years. At Everstream Analytics, we’re building the future of supply chain resilience. Join a team that thrives on challenges, values collaboration, and empowers individuals to make a significant impact on a global scale.

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🔥 Lead Data Engineer
Posted 10 days ago

📍 Europe

🧭 Full-Time

🔍 Supply Chain Risk Analytics

  • Deep understanding of Python, including data manipulation and analysis libraries like Pandas and NumPy.
  • Extensive experience in data engineering, including ETL, data warehousing, and data pipelines.
  • Strong knowledge of AWS services, such as RDS, Lake Formation, Glue, Spark, etc.
  • Experience with real-time data processing frameworks like Apache Kafka/MSK.
  • Proficiency in SQL and NoSQL databases, including PostgreSQL, Opensearch, and Athena.
  • Ability to design efficient and scalable data models.
  • Strong analytical skills to identify and solve complex data problems.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Manage and grow a remote team of data engineers based in Europe.
  • Collaborate with Platform and Data Architecture teams to deliver robust, scalable, and maintainable data pipelines.
  • Lead and own data engineering projects, including data ingestion, transformation, and storage.
  • Develop and optimize real-time data processing pipelines using technologies like Apache Kafka/MSK or similar.
  • Design and implement data lakehouses and ETL pipelines using AWS services like Glue or similar.
  • Create efficient data models and optimize database queries for optimal performance.
  • Work closely with data scientists, product managers, and engineers to understand data requirements and translate them into technical solutions.
  • Mentor junior data engineers and share your expertise. Establish and promote best practices.

AWSPostgreSQLPythonSQLETLApache KafkaNosqlSparkData modeling

Posted 10 days ago
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