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Big Data ETL Engineer

Meerab Group — Netherlands · Posted ~2 hours ago

Skills

ETL Data pipelines Data architecture Data integration Data processing Data Pipelines Object Storage

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Summary ✨ AI‑Generated

A data engineering position focused on designing and maintaining ETL architectures, automated pipelines, and data platforms that enable secure storage, search, and analytics.

Highlights

Data engineering role focused on building automated pipelines, searchable archives, and scalable data solutions.

Description

-Based on demand build ETL architecture transferring structured and non-structured data into a Hitachi Content Platform (HCP) Object store as the back end for archivingBuild bespoke archives of data to satisfy point business solutions such as regulation and complianceBuild a generic framework to ingest decommissioned application data into searchable archives such that applications may present their data from e.g. a database in a pre-determined format to be ingested in a searchable formDeliver a standard interface for searching such archives securelyAnticipate demand and innovate existing solutionsCode, test, document, and maintain standardised, automated data pipelinesHelp design and build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sourcesBuild analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metricsResponsible for testing, documentation and handover to the customer.Delivery to meet aggressive timescales.Communication of progress and risk to the teamMust Have: C#JavascriptPowershellPythonReactUI development