Senior Data Engineer for a mobility fintech project

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We are looking for a Senior Data Engineer who would like to join one of our key projects within the area of mobility financing, and develop a durable relationship with our client - a startup that develops their platform revolutionizing vehicle financing across countries that have limited or no access to services as such.

Project description:

• You will join a team of experts, building a large product for millions of users, already existing in 6 countries, with a possibility of expanding to various continents,
• You will co-create cutting-edge solutions with clients, partners, fin-techs, and other technology leaders,
• You will contribute to the development of several innovation projects.

Requirements

Apply if you:

• Have 3+ years of experience in Data Engineering or 4+ years in Software Engineering,
• Are advanced in Python programming (good knowledge of OOP, iterators, generators, lambda functions, data structure, and Python ecosystem tools for code quality),
• Haveexperience with DataOps - it is important for everyday tasks (observability, data quality & infrastructure monitoring),
• Have strong skills in the GCP platform (with a focus on data services) and know AWS well,
• Have experience in GCP BigQuery practical usage (writing/optimizing advanced SQL BQ queries, partitioning, and cost model understanding),
• Have at least 1 year of experience in Apache Airflow.

Also, we’d expect from you:


• Experience in Apache Beam framework (with Python SDK; Pipeline, PCollection, PTransform concepts),
• Knowledge about GCP Dataflow (ready to switch from Airflow to Dataflow),
• Good understanding of GCP pub/sub service (connecting from Apache Beam) and experience with the Apache Kafka ecosystem,
• Experience with Change Data Capture (CDC) concept,
• Knowledge about building/consuming data from APIs,
• Great Expectations Python library usage will be a plus.




Joining Netguru as a Senior Data Engineer on this project means:

• Developing a clear understanding of the data use cases on client's side and critical user journeys to design data systems
• Defining database structure / how we store our data (e.g., creating Entity Relationship Diagrams (ERD))
• Database technology selection for both relational and non-relational databases (in particular, time-series databases)
• Defining APIs and services for accessing data
• Defining data validation and constraints to meet business needs
• Integrating our data systems as part of an event-based architecture (especially with Kafka)
• working with an experienced team;
• 100% remote work – we've developed a perfect remote work culture;
• processes based on the Scrum and Agile methodologies;
• dev-friendly processes such as Continuous Integration, Continuous Delivery, Code Review, and bug bashes;
• continuous development of your hard and soft skills.

Benefits

In return, we offer:

• work with an experienced team and continuous development of your hard and soft skills;
• dev-friendly processes such as Continuous Integration, Continuous Delivery, Code Review and bug bashes;
• long-term collaboration on challenging products (FinTech, B2B software, E-commerce and more).

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If you need any disability-related adaptation at any step of the recruitment process – simply let the recruiter know! We'd be happy to help.