Total 10 data entry job vacancies in Information Technology category in Singapore

In this role as Data Architect Lead, you will be working alongside Data Engineers, stakeholders such as product managers, team leads, and senior management to empower the client technical data platform department of our client with actionable data and platform capabilities.

You will be integral in the design and implementation of reliable, performant and scale-able data platform and engineering solutions. In addition, you will lead a team that looks after the daily data platform operations and its efficiency.

What You’ll Need To Succeed

• At least 7 years of experience in Data Platform Architect or Data Engineering Lead related roles
• At least 5 years of experience in Microstrategy operations (Infrastructure / Business) - requiements gathering to customer reporting sessions
• Strong education background with degrees in Computer Science, Engineering or Information Systems (preferred)
• knowledge of visualization tools such as Tableau, Power BI or other platform
• Strong working and architecture knowledge of ETL and related tooling; Informatica, penthao and natively with AWS
• Working proficiency in SQL and familiarity with at least one of the programming language (e.g., Python, Scala)
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Strong working knowledge of AWS specific Data Engineering and Data Science solutions (Redshift, Glue, SageMaker)

Job Description

Digital Risk & Compliance (DRC) professionals transform the risk, regulatory and compliance management function from a series of isolated transactions to one of strategic scope and importance, encompassing all aspects of the entity, including investment, financing and operating decisions.

Engagement Management

· Manage project work or selected work streams in RR&C service line

· Supervise a project team in all components of strategy and governance, process excellence and integration, regulatory reform, performance insights and execution

· Assist clients throughout the full lifecycle of project implementation, integration business process redesign, communication and training, etc

· Work with client's business units, including Compliance, Risk Management, IT, Internal Audit, Legal, Strategic Planning, Analytics and Finance to gain thorough understanding of the corporate risk processes and procedures development

· Identify, define and document complex business specifications for risk platforms and procedures

Business Development

· Maintain contact with client management, assume leadership role in pursuit teams, and participate in all aspects of the proposal development process

Domain Development

· Lead/ assist in the development of new intellectual capital for Accenture, conduct leading edge research on white papers, support development of marketing collateral, and assist in publishing articles in industry periodicals

Professional Skill Requirements

· Experience within a consulting (preferred) and/or banking firm is essential.

· Between 3 to 10 years of relevant work experience in any of the areas below:

• Experience as an ex-regulator, or extensive experience liaising with the regulator.
• Regulatory compliance
• Use of AI within the Risk and Regulatory domain
• Responsible AI
• Enterprise risk management with deep understanding of risk governance, operating model, risk identification and assessment processes
• Third party risk management
• Technology risk framework design, implementation and risk assessment
• Data quality and governance

· Proven track record in project delivery and change management.

· People management skills, with proven experience in leading teams, will be expected of Managers.

· Excellent communications skills, and proficiency in MS suite, particularly Powerpoint.

Quantexa Data Engineer

About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team.

Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service.

We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform.

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Why join us?

You will have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team.

Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service.

We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform.

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Responsibilities:

• Design and develop data ingestion solutions for big data.
  Build efficient and reliable data processing solutions.
• Design and implement data storage solutions.
• Develop scalable data pipelines for ingestion, transformation, and storage of large datasets.
• Optimize data pipelines for real-time and batch processing.
• Ensure data quality and integrity throughout the data pipeline by implementing effective data validation and monitoring strategies.

Requirements:

• Minimum 5-8 years of designing and implementing ETL solutions.
• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Familiar with AWS data ingestion and processing tools like NiFi, Kinesis, and Glue.
• Strong expertise in big data technologies such as Apache Spark and Hadoop.
• Experience with AWS data storage solutions including S3, Iceberg, Aurora, and OpenSearch.
• Proficiency in programming languages including Python, Scala, and Java.
• Preferred certification and/or hands-on experience with AWS data services.
• Attention to detail and a strong commitment to delivering high-quality solutions.
• Strong problem-solving skills and the ability to work effectively in a fast-paced environment.
• Work well in a team.
• Excellent communication and interpersonal skills
  

As an Entry Level to Mid Level Data Platform Engineer, you will be responsible for designing, implementing, and maintaining the Denodo Data Virtualization Platform. You will work closely with the project team to ensure seamless integration with other IT components. You must have master proficiency in Denodo Data Virtualization Platform and advanced proficiency in Data Architecture Principles, Database Architecture, and Platform Engineering.

• Design and implement the Denodo Data Virtualization Platform for the MAS Enterprise Data Lake
• Collaborate with the project team to ensure seamless integration with other IT components
• Develop data architecture principles and design database architecture
• Define technology architecture blueprint roadmap
• Engineer the platform to meet project requirements

As a Cloud Platform Engineer, you will be responsible for designing and implementing cloud platform architectures. You will work closely with the project team to analyze client needs, develop technical designs, and provide expert guidance throughout the implementation lifecycle. Your primary skill proficiency in Cloud Platform Architecture will be essential to the success of this project.

• Design and implement cloud platform architectures for the Migration project.
• Collaborate with the project team to analyze client needs and develop technical designs.
• Provide expert technical guidance and support throughout the implementation lifecycle.
• Conduct rigorous system testing and troubleshooting to optimize the performance of cloud platform architectures.

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team. Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service. We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Minimally 8 years of Data Engineering experience
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

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.

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

Responsibilities:

• 2 to 3 years of related experience in data analytics/engineering on AWS platform.
• Passionate about solving problems - possesses a relentless need for investigation and data exploration
• A driven self-starter who is delivery focused and possesses strong communication, influencing and presentation skills
• Develop & optimize data ingestion pipelines using PySpark. Good to have exposure on handling streaming jobs.
• Participate and support UAT activities with end users.
• Participate in client discussion on streamlining existing process and automation.
• Automate with data quality, auditing features, using Airflow.
• Good to have prior experince working experince on GCC.

Skills and Qualifications:

Bachelor's or higher degree in Computer Science, Engineering or a related field.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law