Opportunity Description
Your newpany
Working for a renowned financial services organisation
Your new role
Seeking a Data Engineer to help design and maintain scalable batch and near‑real‑time ingestion pipelines, modernizing legacy ETL/ELT processes into Azure and Snowflake, and implementing best‑practice patterns such as CDC, incremental loading, schema evolution, and automated ingestion frameworks. They build cloud‑native solutions using Azure Data Factory/Synapse, Databricks/Spark, ADLS Gen2, and Snowflake capabilities including stages, file formats, COPY INTO, and Streams/Tasks to support raw‑to‑curated data modelling.
The role involves creating reusableponents and Python libraries to accelerate delivery across teams, enforcing data quality through validation, observability, and robust pipeline design, and ensuring strong security,ernance, and documentation standards. Collaboration within agile workflows—including CI/CD, code reviews, and iterative planning—is ...
Working for a renowned financial services organisation
Your new role
Seeking a Data Engineer to help design and maintain scalable batch and near‑real‑time ingestion pipelines, modernizing legacy ETL/ELT processes into Azure and Snowflake, and implementing best‑practice patterns such as CDC, incremental loading, schema evolution, and automated ingestion frameworks. They build cloud‑native solutions using Azure Data Factory/Synapse, Databricks/Spark, ADLS Gen2, and Snowflake capabilities including stages, file formats, COPY INTO, and Streams/Tasks to support raw‑to‑curated data modelling.
The role involves creating reusableponents and Python libraries to accelerate delivery across teams, enforcing data quality through validation, observability, and robust pipeline design, and ensuring strong security,ernance, and documentation standards. Collaboration within agile workflows—including CI/CD, code reviews, and iterative planning—is ...
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