Senior Data Engineer

Senior Data Engineer (Praca zdalna)

DataRiseLab Sp. z o.o.

Poland (Remote)
B2B
💼 B2B
Senior Data Engineer
☁️ Azure
Microsoft Fabric
📊 Data Lakes
📊 Data Warehouses
ADF
ADLS
📊 Databricks
Snowflake
ETL/ELT
API
SQL
Agile
Scrum
☁️ Azure DevOps

Podsumowanie

Senior Data Engineer – projektowanie, budowa i zarządzanie Data Lakes, Data Warehouses oraz pipeline’ami w Azure (ADF, ADLS, Fabric, Databricks/Snowflake); optymalizacja wydajności i kosztów, integracje API. Wymagane 4 + lat doświadczenia, znajomość Azure, Fabric, SQL, język angielski B2. Umowa B2B, praca zdalna, opieka medyczna, karta Multisport, szkolenia i wydarzenia branżowe.

Słowa kluczowe

Senior Data EngineerAzureMicrosoft FabricData LakesData WarehousesADFADLSDatabricksSnowflakeETL/ELTAPISQLAgileScrumAzure DevOps

Benefity

  • Opieka medyczna
  • Karta Multisport
  • Szkolenia i wydarzenia branżowe
  • Praca zdalna
  • Elastyczne godziny pracy

Opis stanowiska

ABOUT USWe are an IT Company offering our Clients with a comprehensive support in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in the organization, creating advanced data analytics solutions as well as cloud solutions and business applications. We specialize in delivery of solutions based on Microsoft technologies for clients from Poland and other European countries.JOB OFFERINGWe are looking for a Senior Data Engineer who will be responsible for creation, development and management of processes for data transformation and integration with use of Azure data stack (Fabric, ADF, ASQL, ADLS, but also Data Bricks and Snowflake). Data Engineer will also work on monitoring, process analysis, performance tuning and cost optimization for new and existing solutions.In this role, you will work closely with cross-functional teams, including developers, architects, business analysts, testers and stakeholders to ensure the successful delivery of various IT projects.If you are passionate about Data, know Data Lakes, Data Warehousing and Data Lakehouse, if you are looking for an exciting opportunity to grow and develop your career, we encourage you to apply for this position.RESPONSIBILITIES Creation, configuration, implementation and integration of Data Lakes, Data Warehouses or Data Platform solutions using both Azure Data stack (ADF, ADLS and Azure SQL) and Microsoft Fabric (Lakehouse and/or Warehouse) Data processing and transformation of large datasets Designing and implementation of the data ingestion pipelines and data models Designing and implementation integrations with in-house systems as well as with 3rd parties using API and Service Bus (events) Performance tuning and cost optimization Collecting and monitoring performance metrics, tuning performance of processes Identifying ways of improving data quality and efficiency Refactoring code for currently existing solutions Proposing solution architecture based on cloud solutions Partnering with BI teams to define the best approach around data ingestion and data structures REQUIREMENTSExperience: 4+ years of experience in Data Engineering Experience in Microsoft Fabric (Lakehouse and Warehouse) Experience in Microsoft Azure Data ecosystem (i.e. ADF, Azure SQL) also DataBricks and/or Snowflake Experience with data modelling and data integration (ELT/ETL, API, 3rd party) Knowledge in SQL or Spark Problem-solving, analytical and critical thinking skills Adoption of GenAI-driven tools and systems (like Copilot) into the development process Experience with Agile and Scrum methodologies Azure DevOps experience (Repos, Pipelines) Good command of both written and spoken English (B2 level) Nice to have:· Experience in Python programmingWHAT WE OFFER B2B contract Remote work and flexible working hours BENEFITS Healthcare Multisport Trainings, Industry Events 👉 If you think you are a perfect match, please send your CV to us!The administrator of personal data processed as part of the recruitment process is DataRiseLabSp. z o.o. with headquarters in Wrocław (53-004) at ul. Kawalerzystów 28/2 (hereinafter referred to as: „DRL” or „Administrator”). The Administrator will process personal data for the purpose of recruitment for the position offered. After expressing a separate consent, personal data will also be processed in order to participate in future recruitments conducted by DRL, notifications send about job offers in DRL and about work-related events that are organized by DRL or with the participation of DRL (e.g. job fairs).

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Wyświetlenia: 29
Opublikowana27 dni temu
Wygasaza 2 miesiące
Rodzaj umowyB2B
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