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Przeglądana oferta pracy jest nieaktualna
PwC
Data aktualizacji: 2020-04-10
Data Engineer
Nr ref. 135853WD
Warszawa, mazowieckie
Konsulting, Analiza, Inżynieria
Data aktualizacji: 2020-04-10

Oferta pracy jest nieaktualna

Pracodawca zakończył rekrutację na to ogłoszenie

PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.

Data Engineer

 

PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.

 

We are looking for candidates who are eager to work in the field of data engineering in a Big Data environment. As a Data Analytics team member you will have an opportunity to build data products like data lakes and data marts for sector teams, including Financial Services, Retail, FMCG, Oil&Gas and other.

 

We aim in delivering end-to-end solutions by collaborating heavily with Business Experts from other teams in PwC (Strategy & Operations, Financial Services, Digital Transformation, etc.), Developers and professionals from IT. Our team employs specialist in Machine Learning, Big Data solutions and architecture, statistics and its applications, as well as Deep Learning with various backgrounds (computer science, mathematics, physics, engineering and economy) and degree of seniority (from juniors with 1-2 years of experience to country leaders with over 10+ years on the market).

 

Responsibilities

  • Migrating data processing to a cloud environment;

  • Designing, implementing and monitoring ETLs;

  • Development of data lakes and data marts;

  • Integration of various data sources into concise data products;

  • Evaluation of new data vendors;

  • Data quality control;

  • Ad-hoc data extracts;

  • Writing documentation.

 

Candidate’s profile:

  • At least 1 year of professional experience;

  • Working experience with Hadoop ecosystem (Spark, Hive, YARN) or MS Azure (HDInsight, Databricks);

  • Good knowledge of Python;

  • Practical knowledge of version control in git;

  • At least intermediate knowledge of SQL ;

  • Min B2 in English, written and spoken;

  • Experience with analysis of large data sets;

  • Graduate or last year student (preferred Math, Computer Science, Physics, Operational Research or related);

  • Interest in Big Data and willingness to learn new tools and solutions;

  • Communication skills.

 

Additional assets will be:

  • Scala;

  • Familiarity with Linux and bash scripting;

  • Fair knowledge of algorithms and data structures.

 

We offer:

  • Working in an international team;

  • Flexible working hours and possible home office;

  • A broad offer of technical trainings and conferences;

  • Subsidized language courses;

  • Regular team building initiatives, including hackathons, parties and away-days;

  • Dynamic, project driven work environment;

  • Excellent working conditions and friendly working atmosphere;

  • Attractive compensation with additional benefits package.

PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - list of entities: https://www.pwc.com/gx/en/about/office-locations/poland.html, with its registered seat in Warsaw (00-633), Polna 11 Street, („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed for participation in further recruitment processes conducted by PwC and sending notifications about job offers in PwC or job related events organized or with the participation of PwC such as career fair. A full information about processing your personal data is available in our Privacy Policy.