Data Engineer

2 weeks ago

Brooklyn, New York, United States Altana AI Full time

Altana provides the world's only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data. Through the Atlas, companies and governments can understand the distant origins of products well beyond their own direct suppliers; discover trading relationships and national security risks deep in their networks; measure labor and environmental impacts; identify related risks and opportunities; ensure effective compliance and enforcement with trade requirements; and collaborate to manage all of it.

We have built a fundamental understanding of how the world's economy works, and the implications for global resiliency, sustainability and opportunity are enormous. Backed by leading investors and used by the world's most important organizations (Maersk, US Customs and Border Protection, Boston Scientific, and more), Altana's mission is to power a new era of globalization organized around trusted supply chain networks.

This is a lofty mission, and our success depends on building a diverse, global team and creating an environment in which they can thrive. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact.


Company Overview

To solve climate change, wealth inequality, supply chain stability, and national security we must change how our global supply chains work. Altana is a Trusted Commerce Platform built on a shared source of truth for the global supply chain. The purpose of Altana is to enable resilient, sustainable, secure, and inclusive global commerce: Globalization 2.0.

We have built a layer of shared intelligence across the world's supply chain information: a living map of trillions of dollars of B2B commercial activity, covering 400M companies connected by billions of shipments. This knowledge graph powers Altana's Trusted Commerce Platform - the Altana Atlas.

Our product suite enables our customers to gain unprecedented visibility, benefit from shared artificial intelligence across a federated network of data, and interact across the network through a shared source of truth. We help our customers to build and manage trusted global supply chains.

The Implementation/Data Operations team is looking for talented Data Engineers who are passionate about data and all things related to data products and visibility. We are searching for individuals who are excited to build scalable solutions for our ever growing data needs, and are motivated by delivering functional data products for our internal teams and end users. You'll be a major contributor to data acquisition and ingest processes, including dataset evaluation, ETL pipelines, and continuous data quality improvements. Your work will enable teams across the company to utilize newly incoming data, while partnering with software engineering and machine learning teams to implement scalable processes and define handover points.

Responsibilities

  • Contribute to the development, deployment, and maintenance of pipelines to extract, transform and load incoming data from a variety of 3rd party sources
  • Analyze and evaluate new and existing data sources and provide recommendations regarding data quality and utility
  • Communicate with teams across the organization to ensure the success of data ingest deliverables, identify pain points, and envision improvements to existing processes
  • Collaborate with the overall engineering organization and contribute to the existing codebase
  • Help maintain ETL pipeline architecture and systems documentation
  • Follow engineering best practices

About You

  • 3+ years of experience as a Sr Data Analyst, Data Engineer or a similar role, or education equivalent
  • Programming skills are required, preferably in Python
  • Experience with SQL and relational databases
  • Experience with data analysis, data warehousing, and knowledge of ETL pipelines
  • Excellent analytical skills, deadline-focused, detail-oriented, well organized, and self-motivated
  • Experience with code versioning tools (e.g. git)
  • Working knowledge of cloud services like AWS, Azure, or GCP
  • You are committed to collaboration, knowledge-sharing, and expanding your engineering and analytical skill set to fit the needs of the team
  • You have strong written and verbal communication skills

Nice to have, but not required

  • Experience in a big data processing framework such as Spark
  • Experience with different data lake technologies (AWS Data Lake, Azure Data Studio,...)

This role can be based in New York or London (UK) with hybrid work flexibility and candidates must be within commuting distance from our Hub offices.

Why it's great to work at Altana
  • We love to collaborate, and we win as a team
  • We are committed to engineering excellence
  • We value personal and professional development
  • We learn from diverse backgrounds and perspectives
  • We impact the world, from enabling developing countries to identifying drug traffickers

At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.

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