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Middle Data Engineer (for Digital Transformation R&D)

Companie Verificata

Adaugat: 2 zile în urmă

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Companie :
Brightgrove Inc.
Functia Jobului :
Software & analiza datelor
Industrie :
IT si telecomunicatii
Locatie :
Bucuresti
Tip job :
Program Full Time
Nivel experienta :
Nivel mediu
Vechime :
3 - 4 ani
Descriere:

About the Client
Our customer is an organization undergoing digital transformation, looking to modernize their technology stack and transition to cloud-based solutions. They have established a modern development approach for their ecosystem, requiring skilled developers, data engineers and product people to build and maintain robust full-stack applications which support their business growth and technological advancement.
Project details
The project involves developing and maintaining of the data transformation pipelines for the core engine that powers the Assurance business unit. This includes support of Audit processes performed by our customer, as well as valuation/funding/strategic consultancy workflows.
Your Team
You'll be joining a highly skilled Data Engineering team that is distributed across the globe, with team leadership located in Luxembourg office.
What's in it for you

  • Interview process that respects people and their time
  • Professional and open IT community
  • Internal meet-ups and resources for knowledge sharing
  • Time for recovery and relaxation
  • Bright online and offline events
  • Opportunity to become part of our internal volunteer community


Responsibilities

  • Design, develop and maintain Data pipelines and ETL processes for internal DWH
  • Develop and support integrations with 3rd party systems
  • Be responsible for the quality of data presented in BI dashboards
  • Collaborate with data analysts to troubleshoot data issues and optimize data workflows


Skills

  • Strong experience in design, building, and maintaining data pipelines using Databricks Workflows for data ingestion and transformation using Apache Spark
  • Experience with RDBMS, such as MS SQL or MySQL; Strong SQL knowledge
  • Proven understanding and demonstrable implementation experience in Azure (Databricks, Azure Data Factory, MS Fabric, Azure Blob, Azure AI document intelligence, Azure Data Lake)
  • Data modeling and schema design
  • Proven understanding of business requirements and business needs (Ideally with experience in finance industry: funds, investments, valuation, pricing, etc)
  • Excellent interpersonal and teamwork skills
  • Strong problem-solving, troubleshooting and analysis skills

Would be a plus:

  • C#/ .NET
  • Python
  • Scala

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