111 Big Data jobs in Hong Kong

1 day ago Be among the first 25 applicants

Direct message the job poster from Alibaba Cloud

Responsibilities:

-Creates and presents Big Data & AI-related solution designs to customers. Develops and expands existing impactful relationships with customer architects, senior technical decision-makers, and business stakeholders.

-Leverages and champions Alibaba Cloud reference architecture approach to the customers/partners. Proposes and develops new solutions to scale across multiple customers/partners while demonstrating the business case and presenting alternative scenarios.

-Responsible for understanding the unique requirements of customers and partners, and providing appropriate data solutions and architecture designs based on Alibaba Cloud services.

-Help Alibaba Cloud customers and partners migrate their existing Data Analytics system onto Alibaba Cloud platforms. This includes providing migration technique support for both data platforms and applications.

-Acts as the voice of the customers or partners by driving new feedback, gaps, blockers, insights, resources, etc. to internal teams to shape products and services by providing insights across the regions.

-Responsible for demo development and testing Alibaba Cloud services.

Qualification:

-A background in IT, computer science, and/or cloud computing with a good understanding of Big Data & AI technology.

-A minimum of 5 years’ experience working and consulting on Data Architecture design and a strong understanding of customer needs and requirements. Experience working or studying abroad is preferred.

-Expert knowledge and understanding of Data Architecture design and familiar with Alibaba Cloud Big Data products and/or open source Big Data technology such as Hadoop, Hive, Spark, Flink, Kafka etc…

-Background and experience in AI/ML technologies.

-Experience in customer-facing pre-sales, technical architecture, or consulting roles.

-Excellent presentation and whiteboarding skills, creating documentation that can express architectures using text and diagrams.

-Able to work under pressure, a quick learner with a passion for cloud technology. Able to think strategically about businesses, products, and technical challenges.

-Good communication skills, a good team player, and a professional attitude to work.

-Fluent English and Mandarin are required, fluent in Cantonese is a strong plus.

-Candidates with Alibaba Cloud certification (ACP or ACE) will be considered first.

-Comfortable with traveling to multiple customer locations

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

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Central & Western District, Hong Kong SAR 10 hours ago

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Join to apply for the Data Engineer role at Mace

Join to apply for the Data Engineer role at Mace

At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities, and societies across the globe. To learn more about our purpose, culture, and priorities, visit our strategy site.

Within our consult business we harness our unique combination of leading-edge practical expertise and project delivery consultancy to unlock the potential in every project.

Our Values Shape The Way We Consult And Define The People We Want To Join Us On Our Journey, They Are

• Safety first - Going home safe and well.
• Client focus -Deliver on our promise.
• Integrity - Always do the right thing.
• Create opportunity - for our people to excel.
  
  

• You will be expected to work with Microsoft’s Fabric platform, principally within the Data Engineering and Data Warehousing workflows.
• Identify the best method for extracting data from source systems on a case-by-case basis. Understand, and be able to draw on, effective use of tools such as Notebooks, Dataflow Gen2 and PowerShell.
• Manage credentials, including service accounts and interfaces with Azure Key Vault, to ensure connections are made in the most secure way.
• Build integrations with appropriate error handling and business logic to ensure there is no corruption, omission or duplication of ingested data.
• Apply the fundamentals of data transformation (such as cleaning and optimizing structure of data into fact and dimension tables) using Data Factory and/or supporting tools.
• Ensure data brought into the data platform meets the needs of downstream users, including the BI Development team.
• Store and transform data using a medallion architecture, drawing on lakehouse and warehouse assets as appropriate.
• Oversee the operation and maintenance of daily and periodic pipelines, optimizing efficiency and proactively resolving issues when they occur.
  
  

• A minimum of 2 years’ experience with data engineering tools is expected, of which at least one year should align with the Microsoft tech stack.
• A foundational understanding of SQL language is a requirement of the role.
• Knowledge of good data structure.
• Understanding of data security.
• Effective management of version control throughout the development process.
• Evidence of organized ways of working to manage deliverables to time and quality
• Understanding of working in a consultancy environment and management of stakeholders including clients, colleagues and data owners.
  
  

• A good working knowledge of Microsoft’s productivity suite, including SharePoint, Teams and Office 365, is essential.
• Any experience of supporting BI & data analytics software and languages such as Python, JSON, R, etc. would be a benefit but is not a requirement.
• Any experience with Microsoft Fabric in the last 12 months would be considered highly desirable.
• The ability to work collaboratively as part of a team.
• A willingness to share knowledge and support the development of others.
• The confidence to ask questions, make suggestions and challenge the status quo.
• Excellent written and oral communication skills (in English) and presentational skills.
• A commitment to working inclusively.
• An aptitude for problem-solving.
• Good interpersonal skills.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Information Technology
• Industries Construction

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Kwun Tong District, Hong Kong SAR 7 months ago

Hong Kong SAR $35,000.00-$60,000.00 2 months ago

Shenzhen, Guangdong, China CN¥20,000.00-CN¥40,000.00 2 years ago

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Direct message the job poster from Protiviti Hong Kong

About the Company: This is a large-scale migration program within the financial services industry, aimed at migrating Trustee MPF scheme administration to a centralized and integrated electronic platform.

About the Role: As a Data Engineer, your primary responsibility will be to ensure the accuracy, integrity, and quality of data within databases and systems. You will identify and resolve data issues, inconsistencies, and errors to maintain reliable data sets and collaborate with cross-functional teams to support successful migration.

Responsibilities:

• Analyze and assess data quality and integrity issues through data profiling, identifying patterns, and understanding data dependencies.
• Develop and implement data cleansing strategies to correct errors, duplicates, and inconsistencies.
• Perform data validation and verification to ensure accuracy and compliance with standards.
• Standardize data formats, naming conventions, and structures to enhance data quality.
• Collaborate with data engineers, data scientists, and stakeholders to understand requirements and resolve data issues.
• Conduct quality checks on data cleansing results to validate effectiveness and accuracy.

Qualifications:

• 6+ years of experience in Data Business Analysis or Data Engineering
• Proficiency in SQL and programming languages
• Background in investment funds or pensions is preferred
• Fluent in Cantonese

• Mid-Senior level

• Contract

• Information Technology, Finance, and Analyst

• Data Infrastructure and Analytics, Pension Funds, Banking

This job is active and accepting applications.

11 hours ago Be among the first 25 applicants

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Direct message the job poster from PFCC Group

Job Overview

We are a consultancy firm looking to hire an experienced ETL Developer to work with our retail banking client. This role involves designing, building, and maintaining ETL processes, with a focus on delivering efficient and scalable solutions. The ideal candidate will have a strong understanding of SQL, ETL development, and data visualization tools such as Tableau. Prior experience in the banking domain is highly preferred.

Key Responsibilities

• Design, develop, and maintain ETL workflows and processes to transform and load data efficiently.
• Work with DB2 databases to ensure data integrity, accuracy, and performance.
• Collaborate with business analysts, data engineers, and stakeholders to define and implement data integration solutions.
• Utilize strong SQL skills to query and manipulate large datasets for analysis and transformation.
• Develop Tableau reports and dashboards, ensuring adherence to best practices in architecture and design.
• Troubleshoot and resolve ETL and reporting issues in a timely manner.
• Document ETL processes, data models, and reporting frameworks.

Required Skills and Qualifications

• 3-5 years of hands-on experience in ETL development and data integration.
• Proficiency in SQL with the ability to write complex queries and optimize performance.
• Experience working with DB2 databases.
• Strong knowledge of Tableau reporting, including best practices and architecture design.
• Ability to collaborate in a team environment and effectively communicate technical solutions to non-technical stakeholders.

• Seniority level Associate

• Employment type Full-time

• Job function Information Technology
• Industries Banking and Financial Services

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Wan Chai District, Hong Kong SAR 1 week ago

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

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At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the team:

OKX data team is responsible for the whole data scope of OKG, from technical selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKX throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.

Responsibilities:

• Design and build resilient and efficient data pipelines for both batch and real-time streaming data
• Architect and design data infrastructure on cloud using industry standard tools
• Execute projects with an Agile mindset
• Build software frameworks to solve data problems at scale
• Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools
• Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent issues and quickly identify issues. Drive resolution on the issues.
• Define, understand, and test external/internal opportunities to improve our products and services.

Requirements:

• Bachelor’s Degree in Computer Science or have equivalent professional experience
• Solid Experience with data processing tools such as Spark, Flink
• Solid Experience implementing batch and streaming data pipelines
• Solid experiences in Python/Go/Scala/Java.
• In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
• Familiar with DevOps tools such as Git, Docker, k8s
• Experience with the cloud (e.g. AWS, Ali Cloud, GCP, Azure)
• Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions.
• Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis.
• Self-driven, innovative, collaborative, with good communication and presentation skills
• Fluent in English, both written and spoken.

Preferred Qualifications:

• Experience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet business industries.
• Experience in working with teams across offices and timezones is a plus.
• Experience in big data tools such as Amplitude/Tableau/QlikView, Ali Cloud DataWorks, MaxCompute, Hadoop, Hive, Spark and HBase is a big plus.

Join to apply for the Data Engineer role at Jane Street

Join to apply for the Data Engineer role at Jane Street

Direct message the job poster from Jane Street

We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.

Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.

You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.

While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.

About You

• Top-notch programming skills in any language (Python a plus)
• Experience with using SQL and relational databases
• Experience with generating data visualizations
• Meticulous approach to data quality and validation
• Clear and concise communication skills; able to efficiently analyze and deconstruct technical problems
• Fluency in English is required

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering, Information Technology, and Finance

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Wan Chai District, Hong Kong SAR 1 week ago

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

Central & Western District, Hong Kong SAR 5 days ago

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Gleneagles Hospital Hong Kong (Gleneagles) is a state-of-the-art, multi-specialty private tertiary hospital designed to provide the Hong Kong people with high-quality and accessible healthcare services.

Located at Wong Chuk Hang on Hong Kong Island South, Gleneagles provides 500 beds, cutting edge medical technologies and a comprehensive range of clinical services spanning more than 35 specialties and subspecialties. As Hong Kong’s top-notch private teaching hospital, Gleneagles also contributes to the training and development of healthcare professionals, and advancement of clinical research.

Gleneagles is a joint venture hospital between IHH Healthcare and CTF Services Limited and is managed by IHH Healthcare. The University of Hong Kong is the exclusive clinical partner of Gleneagles and is responsible for clinical governance.

Job Responsibilities

• Design, build and maintain the organization's data infrastructure, including databases, data pipelines, and data storage solutions
• Create and maintain ETL processes to move data from various sources into the organization's data warehouse
• Develop, maintain and optimize data processing and data analysis workflows
• Manage databases, analyze, interpret and document a variety of data sources and projects
• Work with stakeholders to define data requirements, design data models and identify data sources
• Collaborate with cross-functional teams to develop, implement and maintain data solutions that meet business needs
  
  

• Degree holder in Computer Science, information technologies or related fields with at least 3 years of relevant experience in data engineering, or equivalent role in a data warehouse environment
• Experience in healthcare or service industry is advantages
• Experience with database design, data modeling and ETL development
• Strong programming skills in Python, SQL, and/or Java
• Experience working with large datasets and big data technologies, such as Hadoop, Spark, or NoSQL databases
• Experience with cloud platforms, such as AWS, Azure or Oracle
• Gleneagles always prioritizes staff’s well-being and work-life balance. Join us now to enjoy our enhanced leave package with Family Care Leave, Birthday Leave, etc! We also offers Voluntary Provident Fund Scheme - employer's contributions including MPF equal to 8% of employee's basic salary, with no cap. Join us and let us be your long-term partner through your journey of career development!
  
  

• Seniority level Mid-Senior level

• Employment type Other

• Job function Information Technology
• Industries Hospitals and Health Care

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Sha Tin District, Hong Kong SAR 6 days ago

Central, Hong Kong SAR SGD800 - SGD1,200 2 months ago

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Direct message the job poster from eTeam

Responsibilities :

• Design logical and physical data models to support integration and analytics needs.

• Define and document integration patterns between Oracle Fusion and external systems.

• Collaborate with Data Platform Lead and Architect to ensure data quality and compliance in design.

• Design scalable solutions to maintain performance under varying data loads.

• Build and maintain ETL pipelines for data feeds using enterprise middleware and cloud-native tools.

• Implement and test integrations between Oracle Fusion and target systems.

• Set up monitoring frameworks for data pipeline health and optimize performance.

• Troubleshoot and resolve data integration issues to minimize disruption.

• Maintain comprehensive documentation of data flows and integration logic.

• Support QA teams in developing and executing integration test plans to ensure data accuracy.

• Define test scenarios and validation rules for data integrations.

• Provide support and guidance during testing execution and troubleshooting.

• Continuously monitor data pipelines and integration jobs to ensure uptime.

• Troubleshoot and resolve data-related issues across systems.

• Collaborate with teams to resolve data access, quality, and integration issues.

• Log and manage issues found during testing, coordinating with developers for fixes.

• Monitor integration processes to ensure smooth operation.

• Perform regular maintenance tasks such as updating configurations and optimizing performance.

• Collaborate with maintenance teams to ensure stability of integration environments.

Requirements :

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• 4+ years of experience in designing and implementing data solutions for complex financial systems, with minimum 4 years of experience in integration design, build, test, and deployment phases.

• Experience with data migration, quality management, and governance frameworks.

• Excellent problem-solving and analytical skills.

• Strong communication and leadership abilities.

• Ability to work collaboratively in a fast-paced environment.

• Experience with data platforms and middleware solutions.

• Proficiency in Azure data engineering tools (e.g., Azure Databricks, ADLS, ADF, Terraform).

• Experience with orchestration and automation tools (e.g., Control-M, Python/PySpark, GitHub Actions).

Preferred Skills :

• Relevant Oracle Integration Cloud or Oracle Fusion certifications.

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology
• Industries Staffing and Recruiting

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Join to apply for the Data Engineer role at Jane Street

Join to apply for the Data Engineer role at Jane Street

Direct message the job poster from Jane Street

We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.

Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.

You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.

While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.

About You

• Top-notch programming skills in any language (Python a plus)
• Experience with using SQL and relational databases
• Experience with generating data visualizations
• Meticulous approach to data quality and validation
• Clear and concise communication skills; able to efficiently analyze and deconstruct technical problems
• Fluency in English is required

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering, Information Technology, and Finance

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Wan Chai District, Hong Kong SAR 1 week ago

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

Central & Western District, Hong Kong SAR 5 days ago

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