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)

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.

· 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)

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.

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.

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.

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.

Key Responsibilities:

• Data Infrastructure Development: Design and build scalable, efficient, and secure data infrastructure to support advanced analytics and reporting systems.
• ETL Pipeline Development: Develop and maintain robust ETL (Extract, Transform, Load) pipelines to process data from various sources, ensuring high-quality, consistent, and accurate data.
• Data Integration: Integrate multiple internal and external data sources, ensuring seamless data flow across platforms.
• Data Modeling: Create and maintain data models and schemas that ensure the efficient storage and retrieval of data.
• Optimization and Performance Tuning: Enhance the performance and scalability of data pipelines, optimizing for speed and reliability.
• Collaboration: Work closely with data scientists, business analysts, and other teams to ensure that data is organized and accessible for analysis, reporting, and machine learning applications.
• Data Governance: Implement data quality control processes to maintain data integrity and consistency.
• Automation: Automate data workflows and systems to ensure efficiency and reduce manual work.
• Troubleshooting and Maintenance: Monitor the health of data systems, diagnose issues, and maintain optimal data system performance.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience).
• Experience:2+ years of experience in data engineering, database management, or a similar field.
  Experience working with cloud platforms (AWS, Google Cloud, or Azure).
  Proficiency in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
  Solid experience with ETL processes and tools (e.g., Apache Airflow, Talend, or custom-built pipelines).
  Familiarity with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
  
• Technical Skills:Strong proficiency in programming languages such as Python, Java, or Scala.
  Expertise in SQL for data querying, optimization, and performance tuning.
  Experience with data processing frameworks like Apache Spark or Hadoop.
  Version control experience with tools like Git.
  

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

Data scientist roles and responsibilities include:

• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out the preprocessing of structured and unstructured data
• Enhancing Data Collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams

Skills:

• Programming Skills – knowledge of statistical programming languages like R, Python and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense
• Degree in Computer Science, Engineering or relevant field is preferred
• Proven Experience as or Data Scientist

Are you ready to dive into the exciting world of hedge funds? We’re on the hunt for a talented and driven Data Engineer with 3-4 years of experience to become a vital part of our client's team.

In this role, you’ll be the mastermind behind designing, building, and fine-tuning data pipelines and infrastructure that power our cutting-edge quantitative and investment strategies. Think of it as being the architect of our data universe, where every piece you build has a direct impact on high-stakes decision-making.

Key Responsibilities:

1. Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines to ingest, clean, and transform large volumes of structured and unstructured data from multiple sources.
   Ensure data availability, reliability, and consistency for downstream analytics and modeling.
   
2. Data Integration and Storage: Implement efficient data integration solutions to connect various internal and external data sources.
   Build and optimize data storage systems, including data lakes, warehouses, and real-time streaming platforms.
   
3. Performance Optimization: Monitor and improve the performance of ETL processes and database systems to minimize latency and maximize throughput.
   Ensure high availability and fault tolerance of data infrastructure.
   
4. Collaboration with Teams: Work closely with quantitative analysts, portfolio managers, and data scientists to understand their data requirements and provide tailored solutions.
   Collaborate with IT and DevOps teams to deploy and maintain infrastructure in production environments.
   
5. Data Quality and Governance: Establish and enforce data quality and validation processes to ensure accuracy and completeness.
   Implement data governance practices to maintain compliance with regulatory requirements.
   
6. Technology Exploration: Stay updated with the latest advancements in data engineering technologies and tools.
   Evaluate and recommend new technologies to enhance the fund's data capabilities.
   

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Experience: 3-4 years of hands-on experience in data engineering, preferably in the financial services or hedge fund industry.

Technical Skills:

• Proficient in programming languages such as Python, Java, or Scala.
• Strong experience with SQL and database technologies (e.g., PostgreSQL, MySQL, or Snowflake).
• Hands-on experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
• Experience with data pipeline tools such as Apache Airflow, Luigi, or similar frameworks.
• Familiarity with real-time streaming technologies like Kafka or Kinesis.
• Understanding of data modeling, warehousing concepts, and ETL best practices.

Preferred Qualifications:

• Experience in the hedge fund or financial services industry is highly desirable.
• Knowledge of financial datasets and market data providers (e.g., Bloomberg, Refinitiv).
• Familiarity with machine learning workflows and integrating AI/ML models into data pipelines.

If you or anyone within your network is keen to explore the opportunity then do share your resume with [email protected]

Job Overview:
We are seeking a skilled and motivated Data Scientist with expertise in Business and Systems Analysis to join our dynamic team. This role will focus on leveraging data to improve business processes, identify strategic opportunities, and optimize system performance within the Infocomm Technology sector.

As a Data Scientist in this role, you will collaborate closely with cross-functional teams to bridge the gap between technical data analysis and business strategy. You will use advanced data techniques, statistical methods, and business acumen to drive decisions and enhance system efficiencies.

Key Responsibilities:

• Analyze complex business processes and identify opportunities for process optimization through data-driven insights.
• Collaborate with stakeholders to define key performance indicators (KPIs) and business goals, translating them into actionable data-driven strategies.
• Develop models to assess and improve system performance, efficiency, and scalability within the Infocomm Technology environment.
• Conduct data analysis to derive actionable insights that influence business strategies, decision-making, and overall system architecture.
• Work with product and development teams to design, implement, and optimize analytics systems and tools that support business needs.
• Identify, analyze, and interpret trends or patterns in large data sets related to system performance, customer behavior, and market trends.
• Provide clear and compelling presentations of findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Actively participate in system design and improvement discussions, ensuring that data and business goals are aligned throughout the project lifecycle.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Science), or a related field.
• Proven experience in data analysis, business systems analysis, or data science within the Infocomm Technology sector.
• Strong understanding of business processes, system analysis, and how data analytics can enhance business performance.
• Proficiency in statistical and data modeling tools (Python, R, SQL, etc.) and business intelligence platforms (Tableau, Power BI, etc.).
• Experience with system design, requirements gathering, and data-driven solution implementation.
• Excellent communication skills with the ability to translate complex technical data into business terms for key stakeholders.
• Strong problem-solving skills and the ability to think strategically while applying analytical techniques.

Job Overview:
We are seeking a skilled and motivated Data Scientist with expertise in Business and Systems Analysis to join our dynamic team. This role will focus on leveraging data to improve business processes, identify strategic opportunities, and optimize system performance within the Infocomm Technology sector.

As a Data Scientist in this role, you will collaborate closely with cross-functional teams to bridge the gap between technical data analysis and business strategy. You will use advanced data techniques, statistical methods, and business acumen to drive decisions and enhance system efficiencies.

Key Responsibilities:

• Analyze complex business processes and identify opportunities for process optimization through data-driven insights.
• Collaborate with stakeholders to define key performance indicators (KPIs) and business goals, translating them into actionable data-driven strategies.
• Develop models to assess and improve system performance, efficiency, and scalability within the Infocomm Technology environment.
• Conduct data analysis to derive actionable insights that influence business strategies, decision-making, and overall system architecture.
• Work with product and development teams to design, implement, and optimize analytics systems and tools that support business needs.
• Identify, analyze, and interpret trends or patterns in large data sets related to system performance, customer behavior, and market trends.
• Provide clear and compelling presentations of findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Actively participate in system design and improvement discussions, ensuring that data and business goals are aligned throughout the project lifecycle.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Science), or a related field.
• Proven experience in data analysis, business systems analysis, or data science within the Infocomm Technology sector.
• Strong understanding of business processes, system analysis, and how data analytics can enhance business performance.
• Proficiency in statistical and data modeling tools (Python, R, SQL, etc.) and business intelligence platforms (Tableau, Power BI, etc.).
• Experience with system design, requirements gathering, and data-driven solution implementation.
• Excellent communication skills with the ability to translate complex technical data into business terms for key stakeholders.
• Strong problem-solving skills and the ability to think strategically while applying analytical techniques.