Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Job Summary:

We are seeking a meticulous and driven Data Analyst to join our Contact Center team. This role involves analyzing data to support operational decision-making and drive process improvements within our contact center. The ideal candidate will be adept at extracting, cleaning, and interpreting data, with the goal of enhancing customer experience, efficiency, and overall performance.

Key Responsibilities:

• Extract, clean, and consolidate data from multiple sources to produce daily, weekly, and monthly reports.
• Write and optimize SQL queries for efficient data retrieval.
• Respond to ad-hoc data requests from projects and management, delivering timely and accurate insights.
• Collaborate with developers to automate reporting processes.
• Serve as a point of contact for project data-related inquiries.
• Analyze contact center performance metrics, including call volumes, response times, and customer satisfaction.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to guide strategic and operational decisions.
• Work with management and various departments to derive actionable insights and recommendations.
• Support the rollout of process improvements based on data insights.
• Ensure the accuracy and integrity of data across all reporting.
• Assist with demand forecasting and capacity planning using historical data trends.
• Stay informed about industry best practices and emerging technologies in data analysis.
• Perform other related duties as assigned by management.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics, or a related field.

Experience: 1–3 years of experience in data analysis, ideally in a contact center environment.

Technical Skills: Proficient in data analysis tools such as Excel, SQL, and Python. Experience with data visualization platforms, including Tableau, Power BI, or AWS QuickSight.

Communication: Strong written and verbal communication skills; able to effectively present insights and recommendations.

Problem Solving: Detail-oriented with strong analytical and critical-thinking skills.

Self-Motivation: Proactive and able to work independently with minimal supervision.

Time Management: Excellent organizational skills with the ability to manage multiple priorities and perform under pressure.

Quality Focus: High attention to detail, ensuring data accuracy and integrity.

Knowledge of Analytics: Familiarity with statistical analysis, modeling, and data visualization techniques.

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

We are looking for a highly skilled Data Engineer to join our team and help build scalable data pipelines and systems. The ideal candidate will have experience in designing, implementing, and optimizing data architectures to enable effective data-driven decision-making. This role involves working with large datasets, building ETL pipelines, integrating data from various sources, and collaborating with cross-functional teams to ensure seamless data operations.

Key Responsibilities:

1. Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient ETL/ELT pipelines to extract, transform, and load data from diverse data sources into data warehouses or data lakes.
   Ensure data pipelines are robust, reliable, and optimized for performance.
   
2. Data Integration & StorageIntegrate structured and unstructured data from various internal and external sources.
   Develop and maintain data storage solutions, including data lakes, data warehouses, and databases.
   Work with both relational databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB).
   
3. Data Modeling & ArchitectureDesign and implement data models to support analytical and reporting needs.
   Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into scalable solutions.
   Implement best practices in data governance, data quality, and metadata management.
   
4. Data Pipeline Monitoring & OptimizationMonitor and troubleshoot data pipelines to ensure data availability, accuracy, and integrity.
   Optimize existing data systems for performance, scalability, and cost-efficiency.
   Implement error-handling mechanisms and recovery strategies for critical pipelines.
   
5. Collaboration & DocumentationCollaborate with software engineers, DevOps teams, and business stakeholders to support data-related technical issues and infrastructure requirements.
   Document data processes, pipeline configurations, and system designs to maintain a clear understanding of the data ecosystem.
   

Required Skills:

• Programming: Proficiency in Python, Java, or Scala for data pipeline development.
• Data Technologies: Experience with Apache Spark, Hadoop, Kafka, and Flink.
• ETL Tools: Experience with ETL tools like Apache Airflow, Informatica, or Talend.
• Databases: Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).
• Cloud Platforms: Hands-on experience with cloud platforms like AWS (Redshift, S3, Glue), Azure (Data Lake, Synapse), or Google Cloud (BigQuery, Dataflow).
• Data Warehousing: Strong understanding of data warehousing concepts, including dimensional modeling, star/snowflake schema, and data marts.
• Version Control: Proficiency in using Git for source control and versioning.
• Big Data: Experience in working with large datasets and distributed computing frameworks.

Preferred Qualifications:

• Certification in AWS, Azure, or Google Cloud related to data engineering.
• Experience in data streaming technologies like Apache Kafka, AWS Kinesis, or Azure Event Hub.
• Familiarity with DevOps practices and CI/CD pipelines for data infrastructure.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Educational Qualification:

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

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Requirement:

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

JD:

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

JD:
Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

About the Role:
We are seeking a highly motivated Metadata Specialist to join our team. In this role, you will play a key part in the implementation and management of metadata to support enterprise data governance and compliance initiatives. If you have a strong background in data management, problem-solving, and stakeholder engagement within the financial services domain, we’d love to hear from you.

Key Responsibilities:

• Manage metadata activities across the entire lifecycle, including collection, quality control, and maintenance.
• Conduct thorough reviews of metadata to ensure accuracy, quality, and compliance with organizational governance standards.
• Provide recommendations on metadata improvements based on stakeholder input and governance guidelines.
• Support the onboarding of stakeholders, particularly within financial institutions, into the organization's data governance and compliance roadmaps.
• Collaborate with cross-functional teams to ensure metadata aligns with enterprise data management objectives.
• Identify, analyze, and resolve metadata challenges to support effective data discovery and utilization.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience with metadata management, quality control, and governance processes.
• Strong problem-solving skills, with the ability to analyze complex metadata issues and provide actionable solutions.
• Experience in stakeholder engagement, particularly in guiding financial institutions through data governance frameworks.
• Excellent communication and interpersonal skills to collaborate with various teams and stakeholders.

Preferred Qualifications:

• Familiarity with enterprise data governance tools and platforms.
• Experience in metadata management within financial institutions or highly regulated industries.
• Knowledge of compliance and data governance best practices.

EA License: R1873481

Company EA License: 11C4879

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Job Description:

• Proactively identify and connect with potential candidates using innovative sourcing techniques and channels.
• Conduct engaging interviews (both face-to-face and online) to understand candidates’ skills, aspirations, and potential fit.
• Manage and coordinate seamless interview scheduling and logistics for candidates and hiring managers.
• Collaborate with HR executives to meet recruitment objectives and ensure a smooth hiring process.
• Take ownership of various administrative tasks to support the team’s goals and operations.

Job Requirements:

• Degree in any discipline – we value your potential, not just your background!
• Strong organizational skills to manage multiple tasks and timelines effectively.
• Excellent communication skills to build rapport with candidates and stakeholders.
• No prior experience required – we welcome all who are eager to learn and grow!

All qualified applicants, please send in your resume to

[email protected]

Alvin Lee Peck Keong (R1104781)

Recruit Express Pte Ltd (99C4599)

Requirements:

• Excellent ethics and positive learning attitude
• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)
• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm
• Lead and drives a team towards a common goal
• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system
• Performance based
• BUSINESS ADVANCEMENT
• Highly motivated, FUN and FAMILY-liked environment
• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE! We regret to inform you that only shortlisted candidate will be notified.

We are looking for a dynamic and enthusiastic individuals to join our team. Being part in a multinational marketing company across Asia, we represent a vast of accredited brands worldwide. This is an excellent opportunity for someone passionate to gain hands-on experience in a fast-paced environment.

Your Responsibilities:
- Create awareness for clients' brands/products and services through face-to-face marketing.
- Drive clients' revenue growth, delivering profitable strategies.
- Develop team leadership skills to coach and drive standards.
- Coordinating operations and organization expansion plans.

Your Requirements:
- Driven and hardworking individuals.
- Ability to work in a team.
- A high desire for self-development.
- Having a great learning attitude and mentality.

Your Benefits:
- Coaching and 1-on-1 guidance provided along the way. Entry level welcome.
- Overseas exposure opportunities and international development workshops.
- Vibrant and collaborative team environment.
- Well structured career development/progression.

JOIN US NOW!

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

• Opportunity to shape and influence the future of data architecture
• 10% travelling required
• Benefit from mobility/relocation opportunities to other countries

about the company
My client is seeking a talented and adaptable Data Architect to join our team. This role will play a pivotal part in shaping and managing the data architecture for our global portfolio, supporting the company’s transformation journey as we migrate towards SAP and implement agile frameworks.

about the job
As a Data Architect, you will work closely with stakeholders across the globe, to design and implement robust data architecture frameworks. This role requires a dynamic individual with strong change management skills who can manage complex environments, juggle multiple projects, and drive business transformation through innovative data solutions.

• Develop data architecture frameworks for specific tech and data products in compliance with company’s global standards, including reference, meta, and master data management procedures.
• Continuously enhance these frameworks to meet evolving business needs while ensuring optimal data accuracy and accessibility.
• Translate complex business requirements into scalable data products, including databases, data warehouses, and data streams.
• Identify key data assets and assess the impact of product choices from a data architecture perspective.
• Ensure compliance of data models in new applications and align architecture decisions with global enterprise data strategies.
• Actively contribute to company’s agile transformation journey, driving the shift towards agile ways of working across multiple projects simultaneously.
• Manage and influence cross-functional teams to foster a culture of agility and adaptability in the organization.
• Coordinate with other Data and Tech Architects to ensure consistency in architecture decisions and alignment across products and markets.
• Participate in transversal initiatives, such as market intelligence and cross-product family projects, to drive enterprise-wide consistency and innovation.
• Advocate for global enterprise data strategies and provide best practices in data architecture to improve business outcomes.
• Bring forward innovative ideas and industry trends to enhance data usage and integration within the organization.

skills and experience required
At least 8 years of experience in data architecture or related fields, with proven expertise in designing and implementing data frameworks in complex environments.

Strong knowledge of agile methodologies, with experience managing change and transforming operational mindsets.

Hands-on experience in building data infrastructure and working with large financial or business datasets.

Broad knowledge of data integration, warehousing, and management tools, with expertise in SAP and BI platforms.

what's an offer
The permanent opportunity for a Data Architect will pay a salary range of $ 12,000 - $ 14,000 plus benefits. This opportunity provides a wider exposure to the inner workings of a global organization and the chance to make a meaningful impact on its overall success.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942)

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Job Description

• Recommend and build require infrastructure for optimal extraction, transformation and loading of data from various sources such as ERP. MES and other systems using SQL technologies.
• Create, manage and maintain optimal data pipeline architecture. API and integration for ERP, MES and other systems used in the company.
• Monitor and manage database and related systems to ensure optimized performance.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Working with stakeholders such as sales, finance, operations, design, and executive teams to support their data infrastructure needs while assisting with data-related technical issues.
• Build business intelligence and analytical tools using Power BI to utilize the data pipeline, and provide actionable insight into key business performance metrics.
• Participate in external and internal audit to ensure company data and related system is effective and validated.
• Create and maintain documentations and compliance for data and systems with reference to industry best practices.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor’s degree (or equivalent) in Computer Science, Information and Communications Technology, or related discipline
• 3 or more years with RDBMS and NoSQL databases
• 3 or more years of experience with Python, SQL, data visualization and exploration tools
• Working experience in MedTech / Manufacturing Industry
• Experienced in building and maintaining ETL processes.
• Experienced with Microsoft-based stack (M365, Power Platform, Azure, Dataverse,Microsoft SQL Server)
• Knowledge of best practices in ICT operations and data management
• Excellent problem solving and troubleshooting skills.
• Process orientated with great documentation practices.
• Communication skills, especially for translating technical concepts to non-technical business leaders.
• Ability to work on a dynamic, action-focused team that has concurrent projects

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Role & Responsibilities :

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• At least 6 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Summary:

We are seeking a skilled and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities:

1. Data Pipeline Development

· Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

· Implement ETL processes for ingesting, transforming, and storing data from various sources

2. Data Analysis and Query Optimization

· Write and optimize complex SQL queries for efficient data retrieval and transformation.

· Troubleshoot and resolve performance issues in queries and data workflows.

3. Big Data Ecosystem Management

· Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

· Monitor system performance and optimize resource utilization in a distributed environment.

4. Collaboration and Problem Solving

· Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

· Provide technical guidance and best practices for data engineering within the team.

5. Automation and Monitoring

· Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

· Ensure data quality and consistency through validation and monitoring mechanisms.

6. Documentation and Compliance

· Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

· Ensure compliance with data governance and security policies.

Skills and Qualifications:

Technical Skills:

· Proficiency in Scala programming and functional programming principles.

· Strong SQL skills, including query optimization and database design.

· Hands-on experience with Hadoop ecosystem tools such as HDFS, Hive, YARN, and MapReduce.

· Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .