Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая senior-позиция инженера данных с современным стеком Azure и Databricks в крупной компании по управлению капиталом; годовой контракт через агентство снижает стабильность, а упоминание жёстких сроков может означать высокий темп работы.
Срочный контракт
Высокий темп
Современный стек
Крупный финтех
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Azure): Building and maintaining scalable data pipelines, backend services, and data platforms for wealth management with an accent on data modelling, ETL/ELT, cloud technologies, and governance. Focus on designing real-time data processing, integrating diverse data sources, and enforcing security, quality, traceability, and regulatory compliance.
Location: Singapore
Contract: 12 months through an external agency payroll provider; full-time.
Company
hirify.global is a wealth management organization whose Global Products Solution Technology department develops software platforms supporting Execution, Sales and Trading.
What you will do
Participate in GPS Program Increment planning and manage environment and configuration for Murex applications, FICC modules, and Java applications.
Design, develop, and maintain scalable data pipelines and backend services for real-time decisioning, reporting, data ingestion, and related functions.
Gather data requirements and contribute to conceptual and logical data modelling aligned with business needs.
Implement data transformation, integration, orchestration, and governance across diverse sources and systems.
Deliver secure, tested, high-quality code and automated processes supporting data security and data quality.
Follow applicable laws, regulations, risk-management standards, and conduct requirements.
Requirements
BS/MS in Computer Science, Data Analytics, Data Management, Information Systems, or a related technical field, or equivalent training and experience.
5+ years incorporating data processing and workflow management tools into pipeline design; 5+ years in ETL/ELT, data warehousing, and/or business intelligence development.
5+ years building and maintaining end-to-end data systems and supporting services with Python, Scala, or similar, plus 5+ years using SQL to investigate data issues and provide solutions.
3+ years working with cloud data technologies and experience developing on cloud platforms, preferably Azure, in a continuous delivery environment.
Experience with structured, semi-structured, and unstructured data; data warehouses, RDBMSes, in-memory caches, and searchable document databases.
Experience working with large datasets in SQL, Databricks, and PySpark; Spark Streaming, Delta Live Tables, Azure Storage, and data lakes.
Experience with data modelling, strong design, implementation, and testing skills, and continuous integration and automated deployments.
Excellent communication, collaboration, interpersonal, and stakeholder-management skills; ability to work autonomously in a global, agile, fast-paced team environment.
Nice to have
Experience with Kubernetes, Docker, Helm Charts, Kafka, Event Hub, Event Grid, Apache Flink, DBT, data vault, and BI tools.
1+ years of software development with JavaScript, Java, or C#.
Ability to provide technical leadership to other developers.
Culture & Benefits
Work in a global team with cross-functional collaboration and an emphasis on initiative, positive attitude, and teamwork.
Operate in an agile setup focused on solution-oriented delivery and high-quality results under tight deadlines.
Follow standards for honesty, integrity, fair dealing, competence, continuous development, risk management, and regulatory compliance.
Hiring process
Submit a full job application through the online application tool.
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