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LSEG (London Stock Exchange Group) — капитал нарықтарындағы институционалдық клиенттерге қызмет көрсететін, жаһандық қаржы нарықтарының инфрақұрылымы мен қаржылық технологиялар саласында жұмыс істейтін компания. Оның қызметі Деректер және аналитика, Капитал нарықтары және Саудадан кейінгі қызметтер бағыттарын қамтиды. Компания қаржылық индекстерді, нарықтық деректерді, аналитикалық құралдарды, сауда қызметтерін және саудадан кейінгі инфрақұрылымды ұсынады. LSEG қаржы саласындағы сараптамасы мен технологияларды ұштастыра отырып, капитал қалыптастыруды, тәуекелдер мен балансты басқаруды және халықаралық нарықтарға қолжетімділікті қолдайды. Компанияның ауқымы мен түрлі салаларға маманданған командалары оны қаржы, деректер, технология, аналитика және бизнес-қызметтер бағыттарында жұмыс істейтін мамандар үшін өзекті жұмыс беруші етеді.
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.
Сипаттама
- 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.
Талаптар
- 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.
Артықшылықтар
- Healthcare coverage
- Retirement planning support
- Paid volunteering days
- Wellbeing initiatives
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