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Sigma Software Group
Sigma Software Group
1,001 – 5,000 कर्मचारी
ऑटोमोटिवपरामर्शस्वास्थ्य सेवा
Sigma Software Group वर्ष 2002 में स्थापित एक बहुराष्ट्रीय प्रौद्योगिकी परामर्श कंपनी है। इसकी टीमें ऑटोमोटिव, स्वास्थ्य सेवा, दूरसंचार, विमानन, बैंकिंग, गेमिंग, रियल एस्टेट और विज्ञापन सहित विभिन्न क्षेत्रों के ग्राहकों के लिए सॉफ्टवेयर विकास, ग्राफिक डिजाइन, परीक्षण और तकनीकी सहायता प्रदान करती हैं। कंपनी जटिल इंजीनियरिंग परियोजनाओं पर काम करने के लिए आईटी विशेषज्ञों को नियुक्त करती है और मेंटरिंग तथा निरंतर सीखने के माध्यम से पेशेवर विकास को प्रोत्साहित करती है। इसका कार्य मॉडल दूरस्थ कार्य के अवसर भी प्रदान करता है और यह AstraZeneca, Scania तथा SAS जैसी संस्थाओं के लिए परियोजनाएं संचालित करती है।
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कंपनी की नौकरियाँ

Senior Data Engineer, Databricks Migration

Migrate enterprise retail analytics from BigQuery to Databricks Lakehouse, building scalable PySpark pipelines, medallion architecture, and governed cloud data platforms.

ROरोमानियारिमोटपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा इंजीनियर
AirflowApacheBigQueryETLPySparkPythonSparkSQLUnityक्लाउड

विवरण

  • Help migrate a large-scale analytics platform from BigQuery to Databricks.
  • Design and build scalable Lakehouse architectures with Databricks and Delta Lake.
  • Assess existing ETL and ELT workloads and define migration approaches.
  • Build and optimize pipelines for large volumes of retail and analytical data.
  • Implement incremental processing strategies and scalable transformation frameworks.
  • Develop and maintain Spark data processing solutions using PySpark.
  • Design and maintain Bronze, Silver, and Gold medallion layers.
  • Apply data governance and security practices using Unity Catalog.
  • Work with Data Science, Analytics, Product, and Customer Engineering teams.
  • Contribute to architecture discussions and technical solution design.
  • Create reusable data platform components and engineering standards.
  • Review code and improve platform reliability and maintainability.
  • Troubleshoot and optimize complex SQL and Spark workloads.
  • Support production deployments and platform modernization.

आवश्यकताएँ

  • Bring at least five years of professional Data Engineer experience.
  • Have strong Python programming skills and advanced SQL proficiency.
  • Have commercial, hands-on experience with Databricks.
  • Know Apache Spark well, particularly PySpark.
  • Have experience designing and building modern cloud data platforms.
  • Have experience developing ETL and ELT pipelines and large-scale data processing solutions.
  • Have hands-on experience with Delta Lake.
  • Have experience with Spark Declarative Pipelines.
  • Have experience monitoring clusters, analyzing metrics, and optimizing performance.
  • Understand distributed data processing architectures.
  • Understand data warehousing concepts and dimensional modeling.
  • Have experience with Airflow or a comparable orchestration tool.
  • Have experience optimizing complex analytical SQL workloads.
  • Have experience applying CI/CD practices to data engineering platforms.
  • Be skilled at troubleshooting and performance optimization.
  • Work effectively with cross-functional, international teams.
  • Have Upper-Intermediate English proficiency or higher.

लाभ

  • Remote work is available to employees.
  • Continuous learning opportunities.
  • Opportunities to grow with technology.
  • Meaningful impact through engineering work.
  • Work on complex international projects.

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Intetics

Senior Data Architect (French-Speaking)

Intetics
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MS SQL ServerSQLक्लाउड

Shape scalable data architecture and SQL Server platforms for Intetics. The role covers data governance, REST integrations, and delivery testing.

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Sedona Digital

Senior Data Engineer, Romania Remote | Sedona Digital

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Build and support PySpark, SQL, and Databricks data platforms for Sedona Digital’s insurance-sector clients. Work on pipelines, reconciliation, data quality, and cloud data solutions.

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ML Data Engineer, Romania Remote

Intetics
501 – 1,000 कर्मचारी
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Build real-time, graph, and time-series data infrastructure for athlete performance. Support machine learning evaluation and AI systems for an Intetics customer in the United States.

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Build AWS lakehouse platforms, data pipelines, and AI solutions for AllCloud’s cloud consulting clients. Design scalable architectures and help customers modernize their data systems.

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201 – 500 कर्मचारी
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Build scalable data pipelines, models, and backend infrastructure for evolving data products. Work with dbt, Snowflake, Databricks, orchestration platforms, and GenAI engineering tools.

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