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LSEG (London Stock Exchange Group)
LSEG (London Stock Exchange Group)
B2Bफिनटेकवित्त
LSEG (लंदन स्टॉक एक्सचेंज ग्रुप) एक वैश्विक वित्तीय बाज़ार अवसंरचना और फिनटेक कंपनी है, जो पूंजी बाज़ारों में कार्यरत संस्थानों को सेवाएँ प्रदान करती है। इसके व्यवसाय में डेटा एवं एनालिटिक्स, पूंजी बाज़ार और पोस्ट-ट्रेड शामिल हैं, जो वित्तीय सूचकांक, बाज़ार डेटा, विश्लेषणात्मक उपकरण, ट्रेडिंग सेवाएँ और पोस्ट-ट्रेड अवसंरचना उपलब्ध कराते हैं। LSEG वित्तीय विशेषज्ञता और प्रौद्योगिकी के संयोजन के माध्यम से पूंजी निर्माण, जोखिम एवं बैलेंस शीट प्रबंधन तथा अंतरराष्ट्रीय बाज़ारों तक पहुँच में सहायता करता है। इसके व्यापक स्तर और विशेषज्ञ टीमों की विविधता के कारण यह वित्त, डेटा, प्रौद्योगिकी, एनालिटिक्स और व्यावसायिक सेवाओं के क्षेत्र में काम करने वाले पेशेवरों के लिए एक प्रासंगिक नियोक्ता है।
LinkedIn
कंपनी की नौकरियाँ

Lead Azure Data Engineer at LSEG - Hyderabad Onsite

Lead the development of Azure data platforms for LSEG’s financial markets infrastructure. Build secure Fabric and Purview solutions, production pipelines, DevOps workflows, and analytics-ready data products.

INभारतऑन-साइटपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीफुल-स्टैक इंजीनियरसॉफ्टवेयर इंजीनियर
AzurePySparkPythonSQLTerraformVault

विवरण

  • Partner with customers, stakeholders, and suppliers to define solution intent, information models, and documentation needs.
  • Establish consistent modelling, design, and coding standards across the program.
  • Coordinate security, data quality, infrastructure, scalability, performance, and other non-functional requirements.
  • Prioritize and deliver software development lifecycle activities.
  • Build tools and applications with clean, efficient code.
  • Automate operational tasks using suitable tools and scripts.
  • Design, implement, and oversee DevOps and CI/CD practices.
  • Work with internal teams, product owners, business groups, and vendors to resolve issues and enhance products.
  • Mentor developers through technical guidance, advice, and coaching.
  • Assist subject matter experts and Tech Leads in meeting delivery commitments.
  • Build and operate secure, compliant, high-performing, organized, and dependable production data-processing pipelines.
  • Design, implement, monitor, and improve data platforms and pipelines.
  • Create Azure workflows for data engineering, ingestion, curation, transformation, and loading.
  • Provision storage, process streaming and batch data, apply transformations and security and retention policies, diagnose bottlenecks, and connect to external data sources.
  • Deliver solutions with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Blob Storage, and Microsoft Purview.
  • Combine and transform structured and unstructured data for analytics use cases.
  • Contribute to and produce robust software designs and architectures.
  • Lead technology solution delivery and guide the engineering team.

आवश्यकताएँ

  • At least 10 years of IT experience.
  • At least 5 years of relevant experience with data platforms in financial services and Azure PaaS offerings.
  • Extensive experience with Fabric, Snowflake, Microsoft Purview, Fabric or Databricks, Data Factory, Data Lake, Azure Monitor, ADLS, Azure Functions, Log Analytics, Azure Container Apps, and Solidatus.
  • Proficiency in SQL and Python; PySpark experience is advantageous.
  • Strong knowledge of security practices involving Azure Key Vault, Microsoft Entra ID, RBAC, and Azure Monitor.
  • Sound understanding of Azure networking concepts.
  • Sound understanding of UML.
  • Practical knowledge of DevOps tools and Terraform.
  • Sound understanding of REST APIs.
  • Knowledge of Agile development practices, including Scrum.
  • Capability to lead a team.
  • Ability to work effectively both independently and collaboratively.
  • Experience working with Agile teams across different locations.
  • Azure DP-203 and DP-900 certifications are preferred.
  • Strong communication, presentation, documentation, and interpersonal abilities.
  • Ability to manage work in a fast-moving environment with changing requirements and priorities.
  • Critical thinking and creative problem-solving ability.

लाभ

  • Healthcare coverage
  • Retirement planning support
  • Paid volunteering days
  • Wellbeing initiatives

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