OPEN
OPEN
OPEN एक नॉर्डिक भुगतान और पॉइंट-ऑफ-सेल प्रौद्योगिकी कंपनी है, जो आतिथ्य, खुदरा, इलेक्ट्रिक वाहन चार्जिंग और ईंधन कारोबारों को सेवाएँ प्रदान करती है। 2005 में स्थापित यह कंपनी स्वीडन, नॉर्वे, फ़िनलैंड और डेनमार्क में कार्यरत है तथा उद्योग-विशिष्ट POS प्रणालियाँ, भुगतान टर्मिनल और क्लाउड-कनेक्टेड SaaS सेवाएँ विकसित करती है। इसका प्लेटफ़ॉर्म व्यावसायिक एकीकरण, इन्वेंट्री प्रबंधन, रियल-टाइम विश्लेषण और डिजिटल भुगतान उपकरणों को एक साथ लाता है और स्टार्टअप तथा स्थापित उद्यमों दोनों के लिए चौबीसों घंटे सहायता प्रदान करता है।

Data Engineer, Semarchy and SQL

Build and optimize data pipelines for critical banking platforms using Semarchy xDI and SQL. Join a data team working on ingestion, transformation, data quality, and production delivery.

विवरण

  • Build and maintain reliable, high-performance data pipelines.
  • Create ingestion and transformation workflows with Semarchy xDI and SQL.
  • Help shape and evolve data marts and data models.
  • Maintain data quality, consistency, and traceability across the data lifecycle.
  • Improve the performance of data processing and integration workflows.
  • Run technical acceptance tests and support production releases.
  • Collaborate with Data Analysts, business teams, and project stakeholders.
  • Take part in Agile ceremonies and continuous improvement work.

आवश्यकताएँ

  • Background in data engineering, data integration, or ETL development.
  • Strong SQL skills and understanding of data transformation.
  • Experience with an integration platform such as Semarchy, Talend, Informatica, or DataStage.
  • Understanding of data quality, governance, and reliability needs.
  • Familiarity with business intelligence environments and data architecture.
  • Self-directed, detail-focused, and analytical approach to work.
  • Able to collaborate in demanding environments with significant business impact.
  • Banking or regulatory sector knowledge is an advantage.

लाभ

  • Work remotely up to three days per week.
  • Join an active Data community to share expertise and build skills.
  • Career paths include Lead Data Engineer, Data Architect, and Data Expert roles.

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