Responsibilities:

• Responsible for design and optimizing of complex SQL queries to generate reports from the data platform.
• Ensure the accuracy, security and reliability of data used in generated reports. Making sure that the data follows local regulations and company policies.
• Support the creation of data visualization tools and dashboards, ensuring they are built on robust and reliable structures within the company's data platform.
• Collaborate with Data Engineers, Data Scientists, and Data Management teams.
• Liaise with business departments to understand their reporting requirements.
• Conduct in-depth analyses to identify trends, patterns and actionable insights.
• Identify automation opportunities and manage departmental automation processes.
• Improve data collection models and ensure the performance of datasets.
• Develop and maintain documentation including data dictionaries and report definitions.
• Carry out any additional tasks assigned by the Supervisor.

Requirements:

• Degree in Statistics, Engineering, Computer Science or equivalent.
• At least 2 years of relevant work experience.
• Knowledge of SQL and programming.
• Experience using Python and PowerApps is an added advantage.

Interested applicants are welcome to submit your resume to [email protected]

EA. R1107675

Agency no. 07C3676

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.

Job Scope:

· Data entry, filing, recording and maintaining accurate records as per the company’s SOP

· Administrative support

· Any other ad hoc duties as assigned

Requirements:

· Well versed in MS Excel or similar data entry tools

· Good communication skills and eye for details

· Accurate and diligent

Additional Information:

· Commencement Date: Immediate for 6-month contract

· Working days and hours: Mon – Fri, 9am to 6pm

· Location: Mapletree Business City, Labrador Park MRT

Location: Warehouse (Geylang Bahru)
Working Days: Mon - Fri, 5 days (ALT SAT)
Working Hours: 8.30am – 6.00pm
Salary: $1,800 - $2,200 (Depends on Experience)

Admin

• Prepare customer quotations
• Fulfilling orders
• Processing orders to shipment and delivery of orders to customers.
• Responsible to manage customers’ orders and coordinating with colleagues during the entire process.
• Data entry
• Manage sales hotline and follow up on all customer and other sales enquiries
• And other admin matters as assigned by Supervisor

Prerequisites

• On job training provided.
• Minimum of 1-year related experience in related Food wholesale trade will be advantageous
• Proficient in MS office applications

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Key Responsibilities:

1. Data Pipeline Development:Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from diverse sources.
   Automate data ingestion and processing workflows.
   
2. Data Architecture and Storage:Develop and optimize data models and databases (e.g., relational, NoSQL, or data lakes).
   Implement and manage cloud-based data storage solutions (e.g., AWS, Azure, Google Cloud).
   
3. Data Integration and Transformation:Integrate data from various structured and unstructured sources, including APIs and third-party systems.
   Ensure data quality, consistency, and accuracy through validation processes.
   
4. Performance and Scalability:Monitor, troubleshoot, and improve the performance of data systems and pipelines.
   Optimize storage and processing costs for large-scale datasets.
   
5. Collaboration and Support:Work closely with data scientists, analysts, and other stakeholders to understand their data needs.
   Provide technical guidance on best practices for data infrastructure.
   
6. Security and Compliance:Implement data governance, security protocols, and access controls.
   Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA).
   

Qualifications:

1. Education and Experience:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
   Proven experience in a data engineering role (2–5 years preferred).
   
2. Technical Skills:Proficiency in programming languages like Python, Scala, or Java.
   Experience with SQL and database management systems (e.g., MySQL, PostgreSQL).
   Hands-on experience with big data frameworks (e.g., Apache Spark, Hadoop).
   Familiarity with cloud platforms (AWS, Azure, GCP) and services like S3, Redshift, BigQuery, or Databricks.
   Knowledge of data integration tools (e.g., Apache Airflow, Kafka, or Glue).
   
3. Other Skills:Strong problem-solving and debugging abilities.
   Excellent communication and teamwork skills.
   Ability to manage multiple projects and deadlines.
   

Preferred Qualifications:

• Experience with machine learning pipelines and MLOps.
• Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).
• Familiarity with CI/CD processes for data workflows.

We are seeking for an individual who is passionate about numbers, data and translating data into actionable insights that can drive decisions. Driven by curiosity and a desire to improve systems, you will be the data champion of Providend Holding Private Limited and its subsidiaries. You will develop data analytics strategies, manage the implementation of data analytics initiatives, while assisting with strategic decisions on data analytics platform. You will take responsibility in managing our databases, consolidating data from siloed systems into a centralized data platform, ensuring data integrity and developing reports.

On daily operational tasks, you will focus on the following areas:

1. Data Cleaning and Preparation: this includes filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.
2. Data Exploration and Analysis: use statistical tools and techniques to explore and analyse data, identifying patterns, relationships and trends.
3. Data Visualization: create visual representations of data findings through charts, graphs and dashboards to make the data understandable.
4. Reporting:prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.
5. Collaboration: work with other departments to understand their data needs and help them make informed decisions based on data insights.

To be successful in this position, you will be someone who is/has:

• Bachelor’s degree in data analytics
• Ability to work with stakeholders to assess business requirements and needs, and translate them into non-technical terms
• Ability to analyse existing tools and databases to provide data solution recommendations
• High-level experience in methodologies and processes for managing large-scale databases
• Demonstrated experience in handling large data sets and relational databases
• Working experience of Data ETL is a must
• Proficiency in process mapping tools, databases and ERP systems
• Hands-on knowledge in SQL and Python programming language is a must
• Experienced in handling huge data on Excel/CSV
• Good written and verbal communication skills
• Can-do attitude, good posture, problem solving mindset
• Initiative, drive and exceptional attention to details
• Tenacious and possesses a strong work ethic
• An independent worker, able to work without much guidance
• A strong team player
• Excellent organisational, problem-solving and multi-tasking skills

Desirable Skills:

• Data analytics services on AWS (e.g. Data Firehose, Kinesis, S3 Data Lake, Glue, QuickSight etc.) or Azure (e.g. Data Factory, Stream Analytics, Event Hubs etc.)
• Working experience in financial institutions is a plus

· Proven experience as a Data Engineer, with a strong focus on AWS Redshift.

· Expertise in data modeling techniques and best practices.

· Experience with ETL tools and processes.

· Familiarity with data warehousing concepts and tools.

· Proficient in SQL and scripting languages such as Python or Java.

· Experience with other AWS services such as S3, Lambda, and Glue.

· Strong problem-solving skills and attention to detail.

· Excellent communication and collaboration skills to work effectively with team members and stakeholders.

· Certifications in AWS or data engineering (e.g., AWS Certified Big Data, AWS Certified Data Analytics) are a plus.

We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:

- Data Infrastructure Development:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.

Mandatory Skills Description:

Education:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 5 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with programming languages such as Python.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Location : Ang Mo Kio

Responsibilities:

• Work with clients to determine data storage and organizational needs and Design data infrastructure for clients
• Develop database solutions to store and retrieve company information
• Install and configure information systems to ensure functionality
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Optimize new and current database systems
• Define security and backup procedures
• Coordinate with the Data Science department to identify future needs and requirements
• Provide operational support

Requirements:

• Work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• Understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Experience in SQL and Oracle
• Experience in data visualization tools (e.g. Tableau, D3.js and R)

To Apply or find out more information on this role, please email us or send in your updated resume to: [email protected]

Shelly Tan Bee Leng (Reg. No. R2199458)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

Looking for a highly competent Data Architect to play a crucial part in designing and optimizing conceptual and logical database models for customers.

• Design conceptual and logical data models and flowcharts
• Develop database solutions to store and retrieve company information
• Optimize new and current database systems
• Define security and backup proceduresInstall and configure information systems
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Coordinate with the Data Science department to identify future needs and requirements

Requirements:

• 5 years of experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• In-depth understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Expertise in SQL and Oracle
• Familiarity with data visualization tools (e.g. Tableau, D3.js and R)

Please contact us or apply in-confidence your update MS Word Resume to : [email protected]

Kelvin (Reg. No. R1872625)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

We are looking for a highly competent Data Architect to join the team. In this role, you will play a crucial part in designing and optimizing conceptual and logical database models for our customers in the Public Safety & Security sector.

Your responsibilities include designing data infrastructure for our customers to extract and organize data for authorized individuals to access. Your duties include identifying the customer’s internal and external data sources, collaborating with them to determine their data storage and organizational needs and using the information to create and maintain data infrastructure for them.

Be Part of Our Success

• Develop database solutions to store and retrieve company information
• Install and configure information systems to ensure functionality
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Optimize new and current database systems
• Define security and backup procedures
• Coordinate with the Data Science department to identify future needs and requirements
• Provide operational support

Qualities We Value

• Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• In-depth understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Expertise in SQL and Oracle
• Proficiency in MS Excel
• Familiarity with data visualization tools (e.g. Tableau, D3.js and R)
• Proven analytical skills
• Problem-solving attitude

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Must have skillset :

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

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 Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data.
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP.
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

Qualifications:

• 3+ years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.

We are seeking an experienced and innovative Data Architect to design, implement, and optimize data solutions that empower business decision-making. The ideal candidate will have a strong background in data architecture, analytics, and visualization tools, with the ability to manage and structure data for enhanced usability and scalability.

Key Responsibilities:

• Design and implement robust data architectures to support business intelligence, analytics, and data-driven decision-making.
• Develop and maintain data models, structures, and pipelines to ensure efficient data integration and accessibility.
• Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
• Ensure the security, integrity, and scalability of data systems.
• Evaluate and select data visualization tools and technologies to meet business needs.
• Provide expertise in data governance, quality assurance, and best practices for data management.

Requirements:

• Proven work experience as a Data Architect, Data Scientist, or Data Analyst.
• Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Strong knowledge of data modeling, data integration, and database design.
• Familiarity with big data technologies and cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
• Proficiency in SQL and other data query languages.
• Excellent problem-solving and analytical skills, with attention to detail.

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified

Please email a copy of your detailed resume to [email protected] for immediate processing.

Requirements and Skills: Data Architect

• A bachelor's degree in computer science, information technology, or a closely related discipline is usually necessary. A master's degree is preferable
• Developed comprehensive architectural plans to meet specific budgetary requirements and project timelines
• Understanding the Enterprise Wide Data-Warehouse developed using FSLDM Model, the databases, technicality in loading & retrieving data.
• Produced monthly & Weekly reports through Automation using ETL,Datan Wrangling & BI tools using Enterprise wide DW.
• Utilized data visualization tools to effectively communicate business insights.
• Identified, analyzed and interpreted trends or patterns in complex data.
• Formulate and maintain Data Governance, framework for Data Ingestion, Data Quality tracking, Meta Data Management, Classifiers and Security across Platform layers and application based on sensitivity of data being stored including Data Lake, EDW and Business Intelligence.
• Designed internal process improvements to automate repetitive tasks,shortening data delivery times
• Core-banking Solution to enhance payment processing using Application programming, Containers & APIs.
• Work with Java & front end developers and support back end processing through API's for Domestic & International Payments.
• Design an enterprise wide Warehouse system using FSLDM and Source Core Banking data for Analytics and Regulatory reporting.

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:

Key Responsibilities:

• Support day-to-day Business-As-Usual (BAU) operations and data engineering activities for the Enterprise Data Warehouse.
• Design, develop, and maintain scalable data solutions for data storage, transformation, and analytics.
• Collaborate with cross-functional teams to ensure seamless data integration and operational efficiency.
• Troubleshoot and resolve technical issues to maintain system performance and reliability.
• Ensure adherence to best practices and standards for data engineering solutions.

Qualifications and Skills:

• A degree in Computer Science, Information Technology, or a related field.
• Strong hands-on experience in:Oracle PL/SQL
  Informatica PowerCenter
  
• Proficiency in SQL across any Relational Database Management System (RDBMS).
• Experience with Systems Development Life Cycle (SDLC) implementation methodologies and/or Agile frameworks (e.g., Scrum, Kanban).
• Ability to learn quickly, adapt to changing requirements, and work in an agile, fast-paced environment.
• Strong analytical and problem-solving skills with a passion for solving complex issues.
• Excellent teamwork and communication skills to collaborate effectively with technical and non-technical stakeholders.
• Experience with dbt Core or Snowflake is a plus.

The successful candidate will play a critical role in supporting the smooth operation of the Enterprise Data Warehouse while ensuring high-quality data engineering solutions and seamless integration across teams.

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.

Responsibilities

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

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

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

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

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

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

Skills/Requirement

• Proficiency in Scala programming and functional programming principles.

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

• Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

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

• Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

• 6+ years of experience in data engineering, big data technologies, or a similar role.

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Work with internal & external stakeholders on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support

Requirements:

• At least 2 – 3 years’ work experience in data engineering field, experience with master data management, data governance, data lifecycle management
• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• Proficiency with relational/non-relational/NoSQL database and enterprise data warehouse/mart
• Experience with big data technologies e.g. Hadoop, Spark, Hive, HBase etc.

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Responsibilities

• Designing enterprise-grade Power BI solutions and analytical data modeling.
• Managing and delivering Power BI projects within timelines.
• Developing Power BI standards, guidelines, and best practices.
• Working with data engineers, data scientists, and other stakeholders in the implementation of Power BI dashboards and reports.
• Leading and providing technical support for Power BI dashboards.
• Organizing and holding workshops and clinics to help HPB employees become more adept in Power BI.

Requirements

• Minimum years of experience in end-to-end Power BI dashboard solutions/data visualization design, adopting good practices that encourage efficient data usage, scalability, extensibility, and reusability.
• Relevant work experience in data integration, analytics, data extraction, transformation and load (ETL), basic exploratory data analytics (EDA), data cleaning, and/or feature engineering.
• Experience in data science is an added advantage.
• Strong skills in analytical data modeling and analysis concepts are an added advantage.
• Experience within healthcare industry
• Technically competent in Microsoft BI and DAX (Data Analysis Expressions) scripting.
• Proficient in SQL (Structured Query Language).
• The following experience and knowledge would be advantageous:
  • Proficiency in Microsoft Azure.
  • Experience with PySpark.

Responsibilities

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements
• primary skillset: DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS/Kubernetes/Docker/OpenStack/Hadoop/Spark/Flin etc.)
• Good data structure and system design skills
• Good knowledge of information security

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

• Bachelor degree in Computer Science/Information Technology or related field with minimum 3 years experience
• Strong hands-on experience in Oracle PL/SQL and Informatica PowerCenter
• Strong hands-on SQL skill in any RDBMS
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban
• Agile, fast learner, and able to adapt to changes
• Good team player, with strong analytical skill and enjoy complex problem-solving.
• Experience in dbt Core or Snowflake will be an added advantage

Key Responsibilities:

• Develop dashboards to facilitate efficient data analysis for product performance, customer profiles, business insights and product effectiveness.
• Conduct quantitative analysis and data mining to support management decisions and provide data-driven recommendations.
• Organize and prepare regular reports relating to business performance and service usage.
• Work closely with the Data Engineer to develop models and bring up new predictive ideas.
• Hands-on with data ingestion, ETL process and automation across systems and platforms.

Key Requirements:

• Bachelor's Degree or related disciplines in Computer Science, Big Data, Data Analytics and Statistics.
• 1-3 years of experience in high data volume, unstructured data environments.
• Proficiency in SQL is a must, Good at Python is nice to have.
• Experience with data visualization tools such as Tableau, PowerBI etc. Must be strong in Excel.
• Strong logical thinking and problem-solving skills, ability to work independently and as a team member.
• Proficient in understanding business lingos.
• Good communication skills with the ability to share complex findings with both technical and non-technical audiences.
• Experience in transaction/E-payment industries is a plus.

We are representing our client in the global technology and engineering space to look for an highly competent Data Architect to join the team. In this role, you will play a crucial part in designing and optimizing conceptual and logical database models.

Responsibilities

• Designing data infrastructure for customers to extract and organize data for authorized individuals to access.
• Identifying the customer’s internal and external data sources, collaborating with them to determine their data storage and organizational needs and using the information to create and maintain data infrastructure for them.
• Develop database solutions to store and retrieve company information
• Install and configure information systems to ensure functionality
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Optimize new and current database systems
• Define security and backup procedures
• Coordinate with the Data Science department to identify future needs and requirements
• Provide operational support

Requirements

• Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• In-depth understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Expertise in SQL and Oracle
• Proficiency in MS Excel
• Familiarity with data visualization tools (e.g. Tableau, D3.js and R)
• Proven analytical skills
• Problem-solving attitude