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Animoca Brands Limited
Data Engineer
5 months ago | 406 views | 8 applications

Data Engineer

Full-time
Remote

About the company

Animoca Brands, a Deloitte Tech Fast winner and ranked in the Financial Times list of High Growth Companies Asia-Pacific 2021, is a leader in digital entertainment, blockchain, and gamification that is working to advance digital property rights. It develops and publishes a broad portfolio of products including the REVV token and SAND token; original games including The Sandbox, Crazy Kings, and Crazy Defense Heroes; and products utilizing popular intellectual properties including Disney, WWE, Snoop Dogg, The Walking Dead, Power Rangers, MotoGP™, and Formula E. The company has multiple subsidiaries, including The Sandbox, Blowfish Studios, Quidd, GAMEE, nWay, Pixowl, Forj, Lympo, Grease Monkey Games, and Eden Games. Animoca Brands has a growing portfolio of more than 200 investments in NFT-related companies and decentralized projects that are contributing to building the open metaverse, including Axie Infinity, OpenSea, Dapper Labs (NBA Top Shot), Yield Guild Games, Harmony, Alien Worlds, Star Atlas, and others. For more information visit www.animocabrands.com or follow on Twitter or Facebook.

Job Summary

Responsibilities:

📍 You will be responsible for creating and maintaining optimal data pipelines to streamline the digestion and organization of crypto-related data 📍 Transform, clean and maintain the data so other business units such as research, finance could easily access and analyze the data. Front-end skill helpful but not necessary. 📍 Design, build and maintain real-time data pipelines that process blockchain transactions from dozens of different blockchain networks. 📍 Develop data models that translate complex, esoteric blockchain data into standardized formats that are analytics-ready. 📍 Design automated systems that evaluate and parse the results of smart contract calls. 📍 Work alongside the Data Science team to curate and prototype new data-sets to tackle emerging problems. 📍Assemble large, complex data sets that meet functional / non-functional business requirements. 📍 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 📍 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. 📍Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. 📍 Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. 📍Keep our data separated and secure across national boundaries through multiple data centers. 📍 Create data tools for analytics and data scientist team members that assist them in building and optimizing our product. 📍Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements / Skill Sets:

📍You possess a strong technical background that includes 2+ years of experience working in a senior engineering position with data infrastructure/distributed systems. 📍Good understanding of blockchain and cryptocurrencies is preferred 📍 Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 📍 Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. 📍Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 📍Strong analytic skills related to working with unstructured datasets. 📍 Build processes supporting data transformation, data structures, metadata, dependency and workload management. 📍 A successful history of manipulating, processing and extracting value from large disconnected datasets. 📍Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. 📍Strong project management and organizational skills. 📍 Experience supporting and working with cross-functional teams in a dynamic environment.

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