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Safe
Senior Data Engineer
atĀ Safe
2 months ago | 105 views | 2 applications

Senior Data Engineer

Full-time
Switzerland

About the company

Most crypto users for example those who own ETH or BNB are used to a single key wallet, often referred to as an externally owned account (EOA). Examples include; MetaMask, Trustwallet, Exodus etc. These accounts are secured with 12 word ā€œseed phraseā€, which can be transformed into a private key for the user. If that private key is compromised in any way, the funds can be stolen. If your project comprises of more than 1 person, an externally owned account is not a secure way to manage your businessā€™s crypto funds If an employee goes rogue or is careless with the private key, the funds are gone forever. Even if your business is made up of just yourself, Iā€™d argue itā€™s still a poor way to manage funds. So, what is the better solution? Enter the Multisig. Safe is a smart contract wallet running on a number of blockchains that requires a minimum number of people to approve a transaction before it can occur (M-of-N). If for example you have 3 main stakeholders in your business, you are able to set up the wallet to require approval from 2 out of 3 (2/3) or all 3 people before the transaction is sent. This assures that no single person could compromise the funds. On top of that, Safe gives you complete self custody over your funds. There is no risk of a bank giving you a hassle for running a crypto business and the smart contract that is deployed is completely trustless and in your control. Here's an overview, comparing the Safe to other digital asset storage solutions:

Job Summary

What you will be doing:

šŸ“Continuously improve and maintain the data integrations within our existing dashboards to ensure they provide accurate and up-to-date insights. šŸ“Develop new data pipelines tailored for our data analysts, enabling them to access, manipulate, and analyze data more efficiently. šŸ“Partner with Dune to create new, scalable spells that can handle increasing amounts of on-chain data and deliver more granular insights. šŸ“Use advanced SQL techniques to manipulate and analyze data, contributing to the continuous improvement of our data models and analyses. šŸ“Expand our data warehouse by incorporating data from Safe{Wallet}, Safe{Core}, Safe{Networks}, and onchain sources. šŸ“Write scripts and code to programmatically fetch and process analytics data, improving the automation and efficiency of our data workflows. šŸ“Set up data orchestrations using tools like Airflow to automate key data pipelines to reduce manual effort and enhance data processing speed. šŸ“Integrate marketing data into our data warehouse to comprehensively evaluate marketing campaign success, bridging the gap between marketing efforts and product performance. šŸ“Play an active role in defining and executing our data strategy, using your data engineering expertise to enhance the speed, efficiency, and scalability of our insights.

Tech Stack:

šŸ“Onchain data: Dune, Allium, Nansen, Spindl šŸ“Offchain data: Google Analytics, BigQuery, Looker, various APIs šŸ“General stack: DGCP, Python, Relational databases (SQL, PostgreSQL), dbt

What you will bring:

šŸ“Proficient with Data Orchestration Tools: Experienced in using tools like Airflow for orchestrating data workflows. šŸ“Familiarity with Cloud Platforms: Experience with cloud-based data services, particularly within GCP or AWS. šŸ“Skilled in Data Modeling: Proficient in building data models with tools like dbt. šŸ“Experience with DevOps Practices: Familiar with CI/CD practices for deploying, testing, and building data pipelines. šŸ“Experience with Onchain Analytics Tools: Comfortable using tools like Dune Analytics for fetching onchain data using advanced queries, optimizing existing ones, and creating new schemas from scratch. šŸ“Proficiency in Scripting Languages: Able to code in at least one scripting language (e.g., Python) for fetching and processing data from APIs.

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