Data & Analytics Engineer, Senior Staff (m/f/d)

2 days ago

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Affinidi

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Reclaim Your Data. Reclaim Your Identity. Reclaim Your Self.

data ownership • holistic identity • decentralised digital identity solution

201 - 500

Description

• Develop, implement, and maintain best-in-class data/analytics pipelines and systems as part of the core Affinidi Elements product offering • Prototype, program and help ship the next generation of Affinidi Elements products that lets developers and consumers access data, services and data models seamlessly and securely • Build a scalable web services architecture that supports privacy-preserving data access, data cataloging, search and discovery, data transformation • Be responsible for the development of innovative, nonstandard approaches for knowledge discovery including the use of AI/ML • Develop features and improvements to the broader Affinidi Elements product in a secure, well-tested, and performant way, primarily using Typescript, Python, R, Rust • Refine and optimize the implemented data processing methods to provide more accurate results or remove inefficiencies or enhance the service offering • Troubleshoot, identify, and resolve technical data and analytics-related issues. • Drive continual improvement of the Affinidi Elements data and analytics solutions and systems for protection against evolving threats and efficiency • Analyze and interpret highly complex data to arrive at actionable recommendations • Collaborate with Product Management and other stakeholders within Engineering to maintain a high bar for quality in a fast-paced, iterative environment • Solve technical problems with large scope and complexity while advocating for improvements to product quality, security, and performance • Craft code that meets internal standards for style, maintainability, and best practices for a high-scale systems environment. Maintain and advocate for these standards through code review. • Confidently own moderate to significantly complex features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects. • Mentor other engineers, contribute to team and organizational improvements in processes and tooling

Requirements

• 12+ years of overall professional experience • 3-5 years of experience database development and tools such as data mining, OLAP, ETL, data modelling, complex SQL queries, performance tuning, and Postgres database development (DDL, DML, stored procedures) - (a must-have) • Extensive expertise in AWS cloud computing and native databases, especially Redshift, as well as the various data processing tools in the AWS platform - (a must-have) • Hands-on experience building a data/analytics pipeline from the ground up, as well as hands-on experience working with data to power AI/ML training and inference • Experience with performance and optimization problems, a demonstrated ability to both diagnose and prevent such problems, and a desire to share your knowledge and scale through others • Enjoy working in a fast-paced startup environment where you can be autonomous and experimental, be part of a truly global team, and can work up and down the stack • Strong technical documentation skills, including the C4 Model and Architectural Decision Records • Understand design patterns and have working experience in developing and deploying microservices in the cloud, and have a proven track-record in doing so • Care about privacy by design, security, testing, high-performance systems, and mentoring others, and have an inclination towards clear communication, inclusion and visibility

Benefits

• Hybrid working model • Flexible working hours • Unlimited vacation policy • Competitive compensation package • Work within international environment • Learning Budget • Mobile Allowance • Home Office Allowance