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LSEG (London Stock Exchange Group)
LSEG (London Stock Exchange Group)
B2BFinansesFintech
LSEG (London Stock Exchange Group) ir globāls finanšu tirgu infrastruktūras un finanšu tehnoloģiju uzņēmums, kas apkalpo kapitāla tirgu institūcijas. Tā darbība aptver datus un analītiku, kapitāla tirgus un pēctirdzniecības pakalpojumus. LSEG nodrošina finanšu indeksus, tirgus datus, analītiskos rīkus, tirdzniecības pakalpojumus un pēctirdzniecības infrastruktūru. Uzņēmums atbalsta kapitāla piesaisti, risku un bilances pārvaldību, kā arī piekļuvi starptautiskajiem tirgiem, apvienojot finanšu zināšanas un tehnoloģijas. Tā darbības mērogs un specializētās komandas padara LSEG par nozīmīgu darba devēju finanšu, datu, tehnoloģiju, analītikas un uzņēmējdarbības pakalpojumu jomas profesionāļiem.
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Vakances uzņēmumā

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.

INIndijaKlātienēPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuFull-stack inženierisProgrammatūras inženieris
AzurePySparkPythonSQLTerraformVault

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

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

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