Aktualne oferty pracy związane z Big Data Engineering Lead - Wrocław, Województwo dolnośląskie - Luxoft
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Big Data Engineering Manager
6 dni temu
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Lead Big Data Engineer
1 tydzień temu
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Lead Big Data Engineer
7 dni temu
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3 godzin temu
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16 godzin temu
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Big Data Solutions Architect
7 dni temu
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Lead Big Data Engineer
1 tydzień temu
Wrocław, Województwo dolnośląskie, Polska Luxoft Poland Pełny etatThe project focuses on building a modern cloud-based data processing platform, enabling efficient management and real-time analysis of large datasets. Key aspects include implementing ETL/ELT pipelines, optimizing data processing, and ensuring compliance with industry regulations. The solution leverages Azure, Apache Spark, and Data Lakehouse architecture to...
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Cloud Data Engineering Manager
16 godzin temu
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Big Data Solutions Engineer
16 godzin temu
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Technical Director
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2 dni temu
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7 dni temu
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7 dni temu
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7 dni temu
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Lead Big Data Engineer with Azure
7 dni temu
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11 minut temu
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Cloud Data Engineering Team Lead
11 minut temu
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Big Data Engineering Lead
1 tydzień temu
We're looking for a skilled Data Processing Specialist to help us build a modern cloud-based data processing platform, enabling efficient management and real-time analysis of large datasets.
The ideal candidate will have experience in building Data Processing pipeline using various ETL/ELT design patterns and methodologies to Azure data solution, building solutions using ADLSv2, Azure Data factory, Databricks, Python and PySpark.
This role involves transforming data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques. You will work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate datasets.
You must have a deep understanding of the software development craft, with focus on cloud based (Azure), event driven solutions and architectures, with key focus on Apache Spark batch and streaming, Datalakehouses using medallion architecture. Knowledge of DataMesh principles is added plus.
You will collaborate with cross-functional teams to ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.
Your expertise will also enable you to create data structures optimized for storage and various query patterns for e.g. Parquet and Delta Lake.
