Job Description Summary

Converts business problems to hypotheses and builds, validates, and deploys well packaged models to solve them using a well-defined methodology, statistics and mathematics, domain expertise, consulting, data engineering and modeling.

Job Description

As a Data Expert at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Job Qualifications

Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing
• discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as
• generative adversial networks (GANs), variational autoencoders (VAEs), etc.)
• Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch
• Knowledge and affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more
• Experience working with customers in different

Preferred Skills and Experience

• Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
• Excellent communication and interpersonal skills to work collaboratively with clients and team members.
• Comfortable working with statistics.
• Advanced skills in PowerPoint and Excel.
• Strong Business acumen and understanding of industry trends and challenges in AI and Generative AI .
• Strong leadership skills and proactive and self-driven attitude.
• Advanced communication and storytelling skills.
• Highly adaptable and flexible through shifting priorities.

Job Description:

• Responsible for ensuring the availability and reliability of multiple data centers to meet IDC operational requirements.
• Conduct daily inspections of servers, switches, power environments, etc., to maintain a good operating environment in the data center and provide feedback data.
• Install, maintain, and troubleshoot server equipment in the data center, including hardware installation, maintenance, and fault handling.
• Responsible for data center equipment migration and server system installation and configuration, such as Windows/Linux systems.
• Assist in troubleshooting CentOS and other Unix-like systems, identify and resolve faults, and provide timely feedback on issues.
• Troubleshoot and resolve data center network equipment and switch failures, such as switch replacements and link failures.
• Promptly respond, provide feedback, and follow up on troubleshooting for daily issues and emergency incidents.
• Responsible for adjusting and arranging the physical links in the data center, such as fiber optics, Ethernet cables, and power cables.
• Conduct regular inspections, maintenance, replacement, and repairs of all servers and spare parts in the data center.
• Provide various daily reports on time and be available for alternating day and night shifts.
• Support spare part inbond and outbond in Warehouse

Job Requirement:

1. Diploma/Bachelor’s degree or above in Engineering, Computer Science, Information Technology, Security, or equivalent;

2. Proficient in Chinese and English to liaise with clients from China;

3. 1-3 years of IT experience; outstanding fresh graduates are totally welcomed;

4. Provide 24/7 alternating support for day and night shifts, with each shift lasting 12 hours, totaling 3 or 4 shifts per week.

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the Team

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

Requirements

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

You will be working as data engineer with a large global bank, you will be playing key role in building complex data solution

Job Responsibilities:

• Performing data analysis and data mapping

- Develop data pipelines to be used by BI or AI team

- Ensure data integrity and data quality

- carrying out development using python, Scala and Databricks

- Carrying out development of back end solution on structured and unstructured data

Job Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, or Analytics

• Min. 3 years of experience working as backend developer using python, pysparks

• Good experience working in big data platforms (Hadoop) and data lakes

• Good experience working with both structured and unstructured data.

• Experience working with databricks, enterprise datawarehouse, Spark streaming

• Good experience in performance optimization

• Experience in data management, data modelling, data warehousing, data mart, data visualization, design and implementation

Interested candidates please email your latest resume to [email protected]

Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills

Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.
• Develop high-quality data analytics and applications that provides actionable insights for management and manufacturing teams.
• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
• Drive global collaboration, alignment, and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
• Strong problem-solving skills with logical approach.
• Masters/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
• Proficient in C#, Python and SQL.
• Knowledge and experience in optimization and CPLEX/Gurobi strongly preferred.
• Knowledge and experience in reinforcement learning, machine learning and deep learning preferred.
• Direct experience with factory scheduling, simulation, and application development preferred.
• Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.
• Able and willing to travel overseas

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

Responsibilities:

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Requirement:

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Python development.
• Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in:
• Unix shell scripting.
• SQL development.
• 2–3 years of experience in Spark programming.
• Bachelor in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject,

Senior Data Engineer

Institution: National Healthcare Group
Family Group: Administration

The Senior Data Engineer leads the creation, maintenance, and strategic development of our advanced data analytics infrastructure, which is vital to the hospital's data-driven decision-making processes. This role oversees the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. The position directly supports the work of the Group Chief Data Officer (GCDO) for Data Analytics and provides leadership to the data engineering team.

Leadership and Management:

• Lead and mentor a team of data engineers, fostering their professional growth and ensuring high-quality deliverables.

• Develop and implement best practices, standards, and architectural decisions for data engineering processes.

• Collaborate with cross-functional leadership to align data engineering strategies with organizational goals.

• Drive innovation in data engineering practices and technologies within the organization.

Strategic Planning and Execution:

• Develop and execute the long-term vision for the data engineering function, aligning with the institution's overall data strategy.

• Identify opportunities for process improvements and automation to enhance team efficiency and data quality.

• Manage resource allocation and capacity planning for data engineering projects.

Data Sourcing and Collection:

• Oversee the identification and evaluation of source systems.

• Guide the team in gathering requirements on frequency, volume, and types of data.

• Ensure robust data privacy and compliance measures are in place, liaising with legal and compliance teams as necessary.

Data Ingestion and Architecture:

• Lead the design and implementation of scalable, efficient data ingestion pipelines using Informatica IDMC, Spark, and Python.

• Establish architectural standards for reliability and fault tolerance of ingestion pipelines.

• Oversee data transformation strategies during ingestion.

• Manage vendor relationships and collaborations for data ingestion projects.

Data Lake Management and Integration:

• Direct the structuring of data in the DataBricks Lakehouse to ensure optimal usability and performance.

• Oversee data partitioning, indexing, and archival strategies.

• Lead integration efforts with DataBricks Lakehouse, ensuring seamless accessibility for data scientists and analysts.

Data Quality, Validation, and Security:

• Establish comprehensive data quality frameworks and validation protocols.

• Implement and oversee security measures, including access controls, data encryption, and regular audits.

• Collaborate with compliance officers to ensure adherence to healthcare data regulations.

Performance Management and Optimization:

• Set and monitor KPIs for data ingestion pipeline performance.

• Lead optimization efforts to meet and exceed SLAs.

• Conduct regular performance reviews and implement improvement strategies.

Strategic Collaboration and Communication:

• Serve as the primary liaison between the data engineering team and other departments, including data science, business analytics, and IT.

• Present data engineering strategies, progress, and challenges to senior management.

• Foster a culture of knowledge sharing and continuous learning within the team.

Qualifications:

• 8+ years of experience in data engineering, with at least 3 years in a leadership role.

• Strong technical expertise in data engineering tools and technologies, including Informatica IDMC, Spark, Python, and DataBricks.

• Excellent communication and interpersonal skills, with the ability to influence and collaborate across all levels of the organization.

Nice to Have:

• Proven track record of successfully leading data engineering projects in a healthcare setting.

• Advanced knowledge of healthcare data standards, privacy regulations, and compliance requirements

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes -Working in the financial or banking industry & Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in - Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in- Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment,often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in -Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in - Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Work in an Agile environment, practicing Continuous Integration and Delivery (CI/CD).

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, and AWS Lambda.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Familiarity with cloud technologies (AWS, Azure, Google Cloud).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Participate in pair programming and code reviews with fellow developers.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Proficiency in scripting languages (e.g., SQL, Python).

Position Summary/Overview:

• The Data Center Operation technician has overall responsibility to support the troubleshooting and coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Overview:We are seeking an AI and Analytics Specialist to find innovative ways to apply artificial intelligence and analytics to real-world Wealth Management challenges. You will work on enhancing client offerings or improving internal processes, constantly pushing the boundaries of how AI can be leveraged to drive value in a dynamic financial environment.

Responsibilities:

• Collaborate with the data hub team to deliver AI-driven data transformation projects.
• Understand business requirements and develop analytical solutions to address key business problems.
• Use design thinking to identify user pain points and areas where advanced analytics, such as Machine Learning and Natural Language Processing, can drive value.
• Design and develop machine learning models tailored to financial services.
• Build advanced analytics workflows, including feature engineering, model development, and insight visualization.
• Create dashboards for data storytelling and insights consumption.
• Develop reusable analytical assets to support various projects.
• Work with business and analytics teams to operationalize models and drive measurable business outcomes.
• Conduct regular audits to ensure model relevance and accuracy.
• Clearly communicate results and insights to stakeholders.

Qualifications:

• Strong strategic thinking around AI’s business value.
• Initiative and resilience to succeed in a highly regulated environment.
• Expertise in machine learning, NLP, clustering algorithms, and feature engineering.
• Proficiency in Python and tools like pandas, scikit-learn, TensorFlow, pytorch, and Flask.
• Experience with data visualization tools such as Power BI or Tableau.
• Ability to explain technical concepts to both technical and non-technical audiences.
• Scientific approach to experimentation and solution evaluation.
• A portfolio of previous AI projects or Kaggle competition experience is a plus.
• Degree holder.

This role requires a mix of technical expertise and business acumen, with the ability to innovate in the AI space within the wealth management domain.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.

We are seeking a proactive and skilled Data and Technology Specialist to join our People Technology team, which sits in the wider People team. This role is based in Singapore and focuses on supporting and optimizing our people (HR) systems, primarily Workday. The ideal candidate will ensure smooth operation of integrations, reporting, and security frameworks while also building new integrations as business needs evolve.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. We’re 6000+ Wisers strong, with over 70 nationalities working in 25+ locations around the globe! 
This is a unique opportunity to join Europe’s most valuable fintech company at a pivotal time in evolving our global People technology, automation and data capability. Keeping a customer first mindset, you’ll be working closely with our People Technology Lead (Senior System Architect) in building, designing, delivering and maintaining Workday and all other People Systems across Wise.

Key Responsibilities:

Integrations Management:

• Monitor, maintain, and troubleshoot existing integrations across the HR system landscape.

• Design, develop, and deploy new integrations as required, leveraging Workday Extend or other relevant tools.

• Collaborate with internal and external stakeholders to ensure integrations meet business requirements and are scalable.

Reporting and Analytics:

• Develop and maintain robust reports and dashboards to support HR and business operations.

• Ensure data accuracy and alignment across systems for meaningful insights and decision-making.

Security and Compliance:

• Manage user access and role-based permissions within Workday and related systems.

• Ensure compliance with organizational policies, data governance, and industry regulations.

• Conduct regular audits to identify and address security vulnerabilities.

Collaboration and Support:

• Work closely with HR, IT, and external vendors to resolve system issues and implement enhancements.

• Provide training and support to HR and other stakeholders on system functionalities.

• Stay updated on Workday releases and best practices to leverage new features effectively.

We are partnering with a leading consulting firm seeking a skilled Data Architect with expertise in Azure and Databricks to design and implement advanced data solutions. In this role, you will collaborate with clients in the insurance sector, helping them optimize data strategies and drive business innovation.

Responsibilities:

• Design, implement, and maintain scalable and secure data platforms using Azure technologies.
• Develop and optimize data engineering pipelines using Databricks for analytics and reporting.
• Collaborate with clients to understand their business needs and translate them into tailored data solutions.
• Implement data governance and compliance frameworks to ensure data quality and regulatory adherence.
• Provide guidance on data architecture best practices to enable performance and scalability.

Qualifications:

• Strong hands-on experience with Azure Data Services (e.g., Data Factory, Synapse Analytics).
• Proficiency in Databricks and modern data engineering practices.
• Prior experience in data architecture within the insurance industry or related fields is advantageous.
• Excellent communication and problem-solving skills to collaborate effectively with diverse teams.

EA: 14S7084 | Registration No:R1981018