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23 resultaten voor Apache Spark in Halle binnen een straal van 30 km
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Je hebt kennis van de volgende technologieën of concepten: Apache Spark, Python, notebooks, DevOps azure CI/CD pipeline, Microsoft SQL of DBT, Azure Data Platform Stack, waaronder: Synapse Analytics, Lakehouse, Fabrics, Semantic model, PB. * Je optimaliseert de Spark-taken met het oog op betere prestaties en je beheert de resource allocation.
Je hebt kennis van de volgende technologieën of concepten: Apache Spark, Python, notebooks, DevOps azure CI/CD pipeline, Microsoft SQL of DBT, Azure Data Platform Stack, waaronder: Synapse Analytics, Lakehouse, Fabrics, Semantic model, PB. * Je optimaliseert de Spark-taken met het oog op betere prestaties en je beheert de resource allocation.
Jij hebt de volgende technologieën of concepten onder de knie: Apache Spark, Python, Notebooks; DevOps Azure CI/CD Pipeline; Microsoft SQL of DBT; Azure Data Platform Stack, en meer bepaald: Synapse Analytics; Lakehouse; Fabrics; Semantic Model; PBI.
Jij hebt de volgende technologieën of concepten onder de knie: Apache Spark, Python, Notebooks; DevOps Azure CI/CD Pipeline; Microsoft SQL of DBT; Azure Data Platform Stack, en meer bepaald: Synapse Analytics; Lakehouse; Fabrics; Semantic Model; PBI.
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You know your way around tools like Apache Spark, Beam
You know your way around tools like Apache Spark, Beam
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Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). * Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).
Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). * Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).
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You have extensive, hands-on experience with Data Lake, Lake House, DWH, Data Governance, Data Modelling, ETL/ELT, Spark, ...
You have extensive, hands-on experience with Data Lake, Lake House, DWH, Data Governance, Data Modelling, ETL/ELT, Spark, ...
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Our tech stack is focussed around Spark, Python, Docker, Kubernetes and operates on AWS
Our tech stack is focussed around Spark, Python, Docker, Kubernetes and operates on AWS
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Experience with big data technologies such as Hadoop, Spark, or Hive
Experience with big data technologies such as Hadoop, Spark, or Hive
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Experience with Spark and/or cloud ecosystems is a must.
Experience with Spark and/or cloud ecosystems is a must.
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