Total 4,012 data entry job vacancies in Information Technology category in Singapore

Job Scope:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.

Able to work independently, with initiative and minimal guidance/supervision

• Design and develop engaging Tableau dashboards.
• Collaborate with 3rd Party software vendors (example: FacilityBot, Fusion Solar, Simens BMS, etc.) to ensure efficient integration of diverse data sources through Tableau.
• Enhance dashboard performance, ensuring reliability and responsiveness. Implement best practices for data extraction and blending.
• Conduct rigorous testing, resolving any discrepancies. Provide comprehensive documentation for Engineering & Facilities Management Dept.
• Work closely with cross-functional teams & 3rd party software providers to understand requirements and align solutions with organizational goals.

Qualifications:

• Proven experience in Tableau development.
• Strong data visualization skills and understanding of best practices.
• Familiarity with SQL and ETL processes.
• Excellent problem-solving and communication skills.
• Ability to work independently and thrive in a fast-paced environment.

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Involve with software and product development and ad hoc projects

• Create well-architected and structured solutions
• Research, design, and develop software

- Software analysis, software design, code implementation, software integration, module verification and validation

• Analyse user needs and develop software solutions
• Deliver software products for integration testing in accordance with software development standard procedures
• Prepare and maintain technical documentation and software deliverables
• Work with other engineers to integrate hardware and/or software systems
• Participate in technical discussions and provide solutions based on industry best practices
• Develop specifications and performance requirements.
• Follow the CA-CIB methodology (Agile included)
• Support applications in production - analyze and resolve issues as they arise

The position requires autonomy and reliability in performing duties while maintaining close communication with rest of project/support team.

Job Qualification

At least a Bachelor’s degree in any of these faculties:

Computer Science / Information Technology / Programming & Systems Analysis / Science (Computer Studies)

• At least 5 years of relevant working experience in Java/J2EE development
• At least 2 years of experience in big data technology development.
• Bachelor or Technical Degree in Computer Science, IS, or IT is preferred
• Good understanding & working knowledge with Agile/Scrum
• Hands-on experience of end-to-end design and implementation of complex IT systems

Technical

• Strong knowledge in Core Java (Java 8+) and OOAD
• Experience in Kafka messaging system.
• Big Data framework like Storm, Hadoop, Hdfs, Hbase, Ignite.
• Knowledge of Flink, Redis, s3, MongoDB is an advantage.
• Tools – Maven, GIT CICD, Cucumber, Kibana
• Knowledge of containerization technologies like Docker & Kubernetes.
• Solution design using proven patterns, awareness of anti-patterns, performance benchmarking
• TDD driven development mindset with strong skills in Junit, Mockito and other Unit testing frameworks
• Knowledge on DevOps Practices

Functional

• Basic understanding of finance and investment banking

Other Professional Skills, qualifications and Mindset

• Strong organizational and communication skills
• Strong analytical and problem solving skills
• Awareness of various software development procedures
• Ability to follow defined procedures
• Team player who is capable to effectively interact with technical and functional team
• Strives to deliver the solution in the most effective and timely manner
• Understanding and respect of cultural diversity

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

• the role requires do Data Engineering for a financial client but also have the chance to do Architecture
• Must have experience in conversation at client level
• Building Data pipelines cloud and private - big data stack
• job required 40% travel in APAC region

Interested candidates, please send over your resume to [email protected]

• Bachelor's or master’s degree in Computer background and 2 to 4 years of IT experience
• Minimum 1+ year of experience in Data Engineering and DevOps environment on Azure, AWS or Google cloud platform
• Must have hands on experience on following Azure Services – Data Factory, Data Lake, Data Warehouse, Database, U-SQL, Databricks, Functions, EventHub/IoT Hub and Storage, or equivalents in AWS or Google
• Must have experience in: Python, SQL, PowerShell
• Must have project experience: real time streaming and batch processing implementations
• Must have experience in Git/Git Lab/Bit Bucket repos and branches or equivalent
• Must have experience in data modelling and visualization using Microsoft Power BI, Python scripting and open-source tools (plotly, D3.js, Bokeh)
• A proven team player with good interpersonal, communication, and problem-solving skills.

Data Engineering Lead (Permanent)

Responsibilities

• To oversee data projects, operations and initiatives in the GCI region in both Commercial and Medical areas
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Able to oversee analytics operations in the region in alignment with global data operations/engineering teams
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Able to lead/participate technical discussion forums with global, regional and country counterparts; Oversee region data security and compliance
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work

Requirement

• Degree with relevant technology field with at least 10 years of established experience in a technology role
• Proven data management and data tools build capability (MSFT Power Platform)
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams

Additional info

• Company industry: Healthcare
• Location: Buona Vista

For more information, please visit to www.gmprecruit.com and search for Job Reference: 24075
To find out more about this opportunity, please contact Ai Linh at [email protected]
We regret that only shortlisted candidates will be notified.

GMP Recruitment Services (S) Pte Ltd | EA Licence : 09C3051 | VO UYEN AI LINH | Registration No: R 22109232

• Requirement:
• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic) .NET Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL
• Good grasp on security fundamentals/PKI
• Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue

Scope of work:

• Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements
• Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade

As a Mid-Level Business Analyst, you will be responsible for analyzing business requirements, designing and implementing Workday data mapping and conversion solutions. You will work closely with the project team to ensure successful delivery of the project.

• Serve as the primary knowledge source for converting data from legacy systems and spreadsheets into the Workday Cloud HCM
• Converting Data into Workday using Workday provided loading tools
• Lead in the validation of data loaded into Workday
• Responsible for assisting clients in mapping legacy data, identifying data quality issues and overall responsibility over conversion activates on the project
• Responsible for key communication to project and client leadership
• Collaborate with project team to ensure successful delivery of the project
• Conduct rigorous testing and troubleshooting to optimize the performance of Workday data mapping and conversion solutions.

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn

• Strong support from management to invest in data
• Help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the company
Our Client is an established company within the financial services industry. With rapid expansion and technology investment plan, they are now looking for an Senior Data Engineer / Data Engineering to join their team. Your work will help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the job

Your role involves:

• Enhancing data integrity and establishing protocols for identifying anomalies within datasets
• Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
• Establishing and refining monitoring practices, frameworks, tools, and libraries, and advocating for their adoption across different teams within the organization.
• Streamlining operations through automation, driving enhancements to our systems by advocating for changes that bolster resilience and dependability.
• Develop and maintain ETL processes for ingesting data from various sources
• Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems

Skills and experience required

As a successful applicant, you will be familiar with programming languages such as Python, Java, or Scala. Proficiency in utilizing diverse data storage and manipulation tools, including SQL, Elasticsearch or Snowflake. Familiarity with containerization and orchestration technologies like Docker, Kubernetes and etc. Exposure to ETL is required for this role.

Candidates from financial services industry background will be highly preferred.

Whats on offer

This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn (EA: 94C3609/ R1219669)

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Job Responsibilities

• Study, analyse and understand business requirements in context to business intelligence.
• Design and map data models to shift raw data into meaningful insights.
• Utilize Power BI to build interactive and visually appealing dashboards and reports.
• Ensure data is cleansed, mapped, transformed and otherwise optimised for storage and use according to business and technical requirements.
• Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Build data pipelines to collectively bring together data; Design and implement written code.
• Test data from source to the presentation layer; Support and troubleshoot data pipelines.
• Other responsibilities include extracting data, troubleshooting and maintaining the reporting platform.

Requirement:

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 5 years of experience in Data Analytics, Realtime data integration and Business Intelligence
• Experience in building and optimising ‘big data’ data pipelines, architectures, and datasets.
• Strong analytic skills related to working with unstructured datasets.
• Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
• Experience in Power BI report delivery.
• Knowledge in traditional ETL.
• Knowledge in financial sector technologies, products and services will be an advantage.

Additional info:

• Company industry: IT Solution under Japanese Bank
• Location: Expo

For more information, please visit to www.gmprecruit.com and search for Job Reference: 24076
To find out more about this opportunity, please contact Ai Linh at [email protected]
We regret that only shortlisted candidates will be notified.

GMP Recruitment Services (S) Pte Ltd | EA Licence : 09C3051 | VO UYEN AI LINH | Registration No: R 22109232

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

The Job:

• Support the review and enhancement of data governance framework, policies, standards, guidelines and data inventory across the Group
• Assist in performing risk and impact assessments
• Provide advisory to Business Units on personal data protection at various stages of the personal data life cycle
• Review and assist in conducting awareness training on personal data protection to foster personal data protection awareness across the Group
• Assist in data breach incident investigations and facilitate remediation action plans
• Manage the data incident log to ensure accuracy and up-to-date

The Requirements:

• At least 3-5 years of relevant working experience in the area of data protection and risk management, preferably from the financial services/insurance industry
• Knowledge of Singapore PDPA and preferably with knowledge of other related/relevant privacy regulations
• Proficient in Microsoft Office applications

Interested applicants can send their detailed resumes to [email protected].

CEI: R1104482

JANE LUI JIE'EN

(EA Licence number 99C4599)

• Responsible for building real-time and batch data ingestion pipelines integrating different data sources like RDBMS, data warehouses, APIs, plant legacy systems, historian systems, file storage systems etc.
• Design, develop, and launch extremely efficient and reliable data pipelines.
• Solve issues in the existing data pipelines and build their successors.
• Build modular pipeline to construct features and modelling tables.
• Maintain data warehouse architecture and relational databases.
• Monitor incidents by performing root cause analysis and implement the appropriate action.
• Create, document and monitor highly readable code.

Additional:

• Migrate local code bases and pipelines(Databricks) to the cloud platform

Skills

• Bachelor's or master’s degree in Computer background and 2 to 4 years of IT experience
• Minimum 1+ year of experience in Data Engineering and DevOps environment on Azure, AWS or Google cloud platform
• Must have hands on experience on following Azure Services – Data Factory, Data Lake, Data Warehouse, Database, U-SQL, Databricks, Functions, EventHub/IoT Hub and Storage, or equivalents in AWS or Google
• Must have experience in: Python, SQL, PowerShell
• Must have project experience: real time streaming and batch processing implementations
• Must have experience in Git/Git Lab/Bit Bucket repos and branches or equivalent
• Must have experience in data modelling and visualization using Microsoft Power BI, Python scripting and open-source tools (plotly, D3.js, Bokeh)

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic)

• .NET Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL Good grasp on security fundamentals/PKI .

• Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue Scope of work: Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements.

• Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade.

1. At least have a HCIP in datacomm.
2. Able to do day to day troubleshooting and maintenance of the network with the help of Huawei APSupport.
3. With well knowledge range of Huawei device.(datacomm, storage, cloud).
4. Able to see overview of customer network and locate customer pain point.
5. Automate the configuration and upgrades of switches within a network.
6. Install inside wiring, hardware (modems, network cards, routers), and software.
7. Evaluate new technology such as SAN and NAS technology for possible application in corporate data center.

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Deloitte Forensic is the pre-eminent forensic practice in Singapore and Southeast Asia and advices local, regional and global clients in the complex areas of Disputes, Discovery, Forensic Analytics, Forensic Investigations (including, fraud, corruption and misconduct), and Financial Crime Advisory.

• Deliver on financial crime projects for financial institutions, fintechs and regulatory bodies

• Develop and deploy sophisticated analytical approaches to gain a deeper and more complete understanding of complex business issues

• Lead engagements and provides strategic direction to the team to deliver on the client engagement

• Assist in business development and provide leadership in Southeast Asia Forensic Data Analytics practice

• Develop relationships, establish credibility with, and instills confidence in clients

During your tenure with us, you will demonstrate and develop your leadership and professional capabilities in the following areas: Inspiring, creating purpose, driving agility, building diverse capability, influencing, collaborating, delivering value, building the business, analytical acumen, effective communication, engagement management/delivery excellence, managing change, managing quality & risk, sales excellence, strategic thinking and problem solving, and tech savviness.

Requirements

• Bachelor degree or above from an accredited university in Computer Science, Data Analytics or related disciplines

• Approximately 10 years of experience in a professional services or consulting firm. It would be an advantage to have experience encompassing both professional services and corporate

• Relevant subject matter experience in financial crime systems and application of analytics covering at least 2 of the following - transaction monitoring, screening, client due diligence and case management

• Experience with financial crime systems - OFSAA, Detica, Actimize, Fircosoft, Netreveal, SAS etc.

• Experience in one or more of the following - Python, R, SQL, SAS and Scala

• Engagement and team management experience with excellent people skills

• Excellent communication and report writing skills to translate technical content for both technical and non-technical audiences

• Experience with handling multiple simultaneous projects and a wide array of clients

• [Preferred] Experience in model validation (focusing on ML models)

• [Preferred] Experience in big data applications and Apache framework including Hive, Spark, Sqoop etc.

• Be a collaborative team player who can connect with a diverse group people and build rapport

• Able to operate with minimal supervision and think laterally

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Responsibilities:

• Oversee the Data Security Engineering team, consisting of direct and indirect reports (including full time employees, contractors, MSS staff and external service providers personnel). This includes hiring, training, career development, and performance management.
• Lead all aspects of data lifecycle disciplines, including but not limited to planning, design, implementation, and ongoing support of such technical solutions as data discovery, mapping, processing, recovery, de-identification, encryption, loss prevention, rights management, etc.
• Create and update new strategies, project plans and policy documents based on compliance and operational requests that map to SHEIN's business requirements
• Develop and manage security budget forecast, expense, and technology, service and vendor roadmaps.
• Liaise with external agencies, such as law enforcement, standards and technology organization, advisory bodies and industry
• Work directly with IT teams to facilitate risk analysis, solution requirements and technology roadmaps to ensure compliance with industry and regulatory standards.
• Establish credibility throughout the organization by earning the reputation for being a proactive senior leader and change agent.
• Sustain high-availability service levels and ensure fulfillment of business-wide service levels and operational support objectives.

Skills and Qualifications:

• 10 years of experience in security engineering, with a dedicated focus on data security field and at least 5 years of direct people management experience.
• Possess a Bachelor’s degree or higher in the field of Engineering, Computer Science, Business Analytics, or equivalent advance technology field of study
• Relevant cyber security certifications, such as CISSP, CISM, CISA and/or PMP are highly desired
• Must be skilled at mentoring and motivating staff, communicating goals and other corporate initiatives and driving to results
• Strong knowledge of data privacy regulations and guidelines such as GDPR, CCPA, PCI, etc.
• Extensive experience building data protection programs in e-commerce or related industries, with strong working and practical knowledge of cloud, network, endpoint, application, and IDM.
• Experience building data driven security metrics to support security operations.
• Experience with change management and development lifecycles, and regular preparation of management status and executive reports
• Strongly process and procedure oriented in managing projects
  Ability to translate complex data security threats and risks from a technical perspective to business-line understanding and execution