Data Engineer, Fintech Solutions; Bonus: $3,000 (вакансія неактивна)

CLIENT

Our client is a successful fintech company based in London. The client provides a software platform and an open API for the banking industry. The open API allows fintech enterprises to access banking services, create digital wallets, connect them, receive, send, and convert funds, launch new cards, and administer loans.

The range of services and geographical presence of the client are growing fast.

PROJECT OVERVIEW

Building on the high growth and success that our Client has experienced, we have exciting plans for further expansion in our Data Team focusing on building out the capabilities with handling large scales of data to both run our business and super power the data driven Insights and products for our expanding customer base.

TEAM

You will be part of a virtual team of Data Analysts, Engineers and Scientists who collaborate and work on cross-functional initiatives to deliver insights and analysis across the Company.

POSITION OVERVIEW

We are looking for a data engineering specialist who will join the client’s data and analytics team and will work on the implementation of data warehouses/lakes, data pipelines, and data analytics models.

You will be a key contributor to the design, delivery, continual assessment, and improvement of strategic business enabling components and customer-focused data products.

TECHNOLOGY STACK & INFRASTRUCTURE

AWS data and analytics stack, Databricks/Spark (PySpark), Fivetran, Looker, Snowflake.

Responsibilities

• Building and managing the data ingestions, integrations, calculations, pipelines, feeds that drive our business
• Collaborate with Data Analysts and Data Scientists, Engineering teams, Operations Teams, Sales and Customer Success teams to ensure the quality, accuracy, and availability of data meets their needs
• Strong focus on accuracy, validation, quality, integrity, and timeliness of data
• Continually advance and improve our system of change management, peer-reviewed code, and automated numbers testing capabilities.
• Follow the policies and procedures in the Information Security Management System (ISMS) and any other regulatory bodies, to ensure the Confidentiality, Integrity, and Availability of the information that our Company manages

Required Skills and Experience

• Batch and streaming data pipelines and calculations in Databricks and coding in PySpark to build scalable, testable and reusable components.
• Python language, skills and knowledge of packages
• Databricks Notebooks, DBFS, DBConnect
• Ability to setup data pipelines to handle data in a wide variety of formats: the good, the bad and the ugly
• Experience in building dashboards for internal and embedded external visualisation in tools such as Looker or experience in similar tools such as Tableau, Power Bi, Sisense, Dash or similar
• Highly capable at SQL (Structured Query Language)
• Desirable: Snowflake database modeling and DBA, Fivetran ETL
• Google Sheets, Microsoft Excel, and LucidChart (or Equivalent).
• Experience in developing for and releasing to a business-critical production environment
• Logical problem solver and critical thinker with a good ability to prioritize projects
• Spoken English

Additional Competencies

• Degree educated, ideally in computer science, mathematical, statistical or data science-related subject or strong professional experience in this area
• Excellent communicators who can explain technical details to people in other roles and understand other people’s perspectives and priorities
• Enthusiasm for delivering excellent value for the business
• Interest in developing UX/CX products that, at their core, utilize data and are data-driven.
• DevOps mindset can work with code reviews, github/gitlab integration, automated regression/numbers testing for calculations and Change Management

We offer

We offer a sign-on bonus to the specialist that will accept our offer and join DataArt in this position.

OTHER OPPORTUNITIES:

• Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Friendly atmosphere, concern for the comfort of specialists;
• Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues;
• The ability to work in any of our development centers.