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The hiring organisation is a well-established company within the technology and telecoms sector, known for its innovative solutions and commitment to excellence. They operate on a global scale and are dedicated to fostering a collaborative and forward-thinking environment.
A successful Data Engineer should have:
If you are passionate about data engineering and eager to contribute to a leading organisation, we encourage you to apply today
Contact
Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)
Quote job ref
JN-062026-7039991
Phone number
+65 6643 9741
Michael Page International Pte Ltd | Registration No. 199804751N
Job ID: 149308201
Skills:
Data virtualization platforms e.g. Denodo - preferred, SQL and relational databases e.g. PostgreSQL, Data preparation or data science platforms e.g. Dataiku - preferred, Python for data processing, Data engineering or ETL ELT platforms, Data modelling tools and diagramming
Skills:
Data Modelling, Sap Bo, Tableau, Python, Analytics, Data Analysis, data warehouse implementations, waterfall Agile methodology, DevOps deployment, data virtualisation tools like Denodo, ETL tools like Informatica
Skills:
data engineering , Pyspark, ELT, Azure Synapse, Azure Data Lake, Azure Storage, Python, Data Modelling, Sql, Azure Data Factory, Spark, Data Governance, Databricks, Etl, Power BI integration, Azure ecosystem, OneLake, Lakehouse Data Warehouse solutions, Microsoft Fabric Data Factory, Security, Medallion architecture, Data Activator, Unity Catalog, metadata-driven concepts, CI CD best practices, DLT pipelines, Delta Lake, Microsoft Fabric, Lakehouse Warehouse
Skills:
Data Modelling, PostgreSQL, SQL Server, Data Warehousing, Json, Sql, REST, MySQL, Xml, Oracle, ETL processes, API integrations
Skills:
Hive, Data Modelling, Impala, Sql, Analytics, Data Analysis, data warehouse implementations, Cloudera Data Platform, DevOps deployment
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