Pracodawca zakończył zbieranie zgłoszeń na tę ofertę

Data Engineer with Cloud

TRUSTED SOFTWARE SERVICES sp. z o.o.

18 00022 000 net (+ VAT) / mth.
  • Company location
    Ogrodowa 58, Wola, Warszawa
    Warszawa, Masovian
  • Work location

    Poland (remote work)

  • offer expired 4 months ago
  • B2B contract
  • full-time
  • specialist (Mid / Regular), senior specialist (Senior)
  • home office work, hybrid work
  • Immediate employment
  • remote recruitment

TRUSTED SOFTWARE SERVICES sp. z o.o.

Ogrodowa 58

Wola

Warszawa

Technologies we use

Expected

  • Data Lake

  • SQL

  • NoSQL

  • Python

  • pySpark

  • HDFS

  • Azure Databricks

  • Azure Data Factory

About the project

TSS is primarily a Software House. A wide range of competences means that we provide solutions for various sectors. We are a recognizable technology provider for the fintech industry. We specialize in payment and banking solutions. We design and implement proprietary products such as applications for terminals, payment gateways and back-office systems. However, we do not stand still - following the trends, we provide mature solutions using blockchain and NFT technologies. When implementing, we use AI solutions based on the latest achievements in the field of Deep Learning and Big Data. Artificial intelligence methods allow to show patterns and dependencies where classical algorithms are insufficient - thanks to this our systems achieve unprecedented efficiency.

Your responsibilities

  • Build and run Azure based Data Platform;

  • Handle multiple Terabytes of different domains data with focus on IoT data using Stream and Batch processing;

  • Craft and maintain world-class, high traffic analytical applications and services with a team of experienced data engineers and scientists;

  • Develop data models and process raw data at scale to make it available for analysis;

  • Build scalable data pipelines using state-of-the-art technologies in the Microsoft Azure Cloud.

Our requirements

  • Certification University degree in Computer Science or related fields of study (Mathematics, Physics);

  • At least 5 Years of experience in architecting and building Data Lake and Enterprise Analytics Solutions;

  • Ability to optimize 'Big Data' data pipelines, design Data Lake architecture and data sets;

  • Experience with Design and Architecture of relational SQL and NoSQL databases;

  • Advanced hands-on SQL, Python, pySpark and HDFS knowledge and experience working with relational databases for data querying and retrieval;

  • Experience with Design and Architecture of Azure big data frameworks: Azure Databricks, Azure Data Factory;

  • Fluent in English, German language will be considered as a plus.

This is how we organize our work

This is how we work

  • in house
  • agile
  • scrum

Development opportunities we offer

  • intracompany training

  • technical knowledge exchange within the company

What we offer

  • Possibility to work fully remotely or in the Warsaw office;

  • Stable cooperation on a B2B basis;

  • Co-financing of private medical care and insurance in PZU;

  • Multisport card;

  • Support in professional development - internal training in the field of cyber security;

  • Attractive pay (depending on experience: 18 000 - 22 000 net/B2B).

Benefits

  • sharing the costs of sports activities

  • private medical care

  • remote work opportunities

  • flexible working time

  • integration events

  • no dress code

  • coffee / tea

  • employee referral program

Recruitment stages
1

Short telephone interview with one of our recruiters

2

Online tech interview with the Project Manager

3

Feedback and decision

TRUSTED SOFTWARE SERVICES sp. z o.o.

We want our employees to feel satisfied with their work, which is why we create a place that allows them to achieve their professional goals. We focus on development, responsibility and a sense of agency. We operate in a flexible environment, we believe that mutual trust and a friendly atmosphere translate into the well-being of all of us.

Find out more about as at: https://tss.black/

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