Role overview

Data Engineer

Requirements and responsibilities

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Responsibilities

  • Be part of a growing Data Analytics team;
  • Support all aspects of automation, ETL, data processing and cleansing, data pipelines, etc;
  • Design, architect, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of the end user always in view;
  • Retrieve and analyse data using SQL, Excel, and other data management & BI systems;
  • Develop queries for ad-hoc requests and projects, as well as ongoing reporting;
  • Monitor existing metrics and analyse data, answer key business questions in a data-driven way;
  • Work with BI/reporting engineers, product owners, and data scientists to meet business requirements and data needs;
  • Work with the latest AWS cloud technologies.

Requirements

  • 7-8+ years of overall experience as a Data Engineer and/or as a Business Intelligence Engineer;
  • 3-4+ years using Python;
  • 3+ years in Data/BI/Analytics/Reporting;
  • Strong SQL knowledge and skills;
  • Database experience with MySQL and/or PostgreSQL preferable, other DB engines an advantage;
  • Experience with data analytics, business intelligence, data pipelines, warehousing & reporting;
  • Experience with BI solutions - any of QuickSight, Tableau, Qlikview, PowerBI, etc;
  • Proven analytical and quantitative ability and a passion for enabling users to use data and metrics to back up assumptions, develop business cases, and complete root-cause analyses;
  • Experience with data modelling and reporting;
  • Some experience with data modelling and optimization, ETL processes;
  • Familiarity and desire to work with the latest AWS cloud-based tools and services;
  • Highly proficient in spoken and written English;
  • Enthusiastic, hard-working, and motivated team player with excellent communication skills;
  • Previous experience in the payment industry - Considered as an advantage.

Benefits

  • Fast-growing payment company;
  • Excellent working conditions, casual atmosphere, and state-of-the-art hardware;
  • Modern, challenging, constantly growing business;
  • Professional development - books, trainings, certifications, etc.;
  • 25 days paid holiday, 1 day for every 2 years with us;
  • Fully distributed and remote;
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, PostgreSQL, PythonPrimary skills
Location1 accepted countryEligibility

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