Total 3,973 data entry clerk job vacancies in Information Technology category in Singapore

Responsibilities:

Database Administration

• Act as the Subject Matter Expert for database-related services.
• Manage the daily BAU operation of database-related services.
• Carry out service monitoring, end-to-end performance correlation, and database performance optimization. Create, review and update system documentation and work instructions to enhance the efficiency of daily operations.
• Perform capacity planning to size database resources to meet the demands of application workloads.
• Plan, execute, and monitor backup schedules in accordance with business needs and data retention policies.
• Review database security, perform database hardening, and apply regular or ad-hoc security patches to ensure compliance with IT security policy.
• Coordinate/Support with application support teams to schedule database updates and upgrade databases with minimal business impact.
• Provide Level 2 support for database service-related queries.
• Perform incident escalation in accordance to escalation procedures.
• Coordinate with other functional teams in incident handling, and ensure incidents are resolved or work- around within stipulated SLAs.
• Contribute to or drive root-cause analysis.
• Ensure that all internal processes and procedures are up to date and in accordance with the company's directives.

Data Services Provisioning

• Perform requirement gathering with application support teams.
• Recommend appropriate data services and system capacity according to agreed requirements.
• Develop configuration policies to optimize security, performance, and availability.
• Set up data services according to policies and guidelines.
• Set up data pipelines for data analytics and dashboard initiatives.
• Coordinate with other functional teams to complete the work required to operationalize data services such as IP address assignment, DNS requests, firewall port opening and security scan, database onboarding, data pipeline creation, database monitoring, and database performance monitoring.
• Ongoing review and improvement of process flow, system, and processes through automation, innovation, as well as the adoption of new technologies.

Implementation of IT Initiatives and Solutions

• Provide feedback on the design of data services for new systems.
• Support execution of database services initiatives and business projects.

Requirements:

• A recognized diploma or degree in IT or related fields.
• Minimal 5 years of hands-on experience in systems and database administration in an enterprise or campus environment.
• Hand-on experience in administering MSSQL, Oracle database (10g and above), Oracle high availability technologies such as RAC and Data Guard, database performance tuning and troubleshooting, and database upgrades and migrations tools.
• Hand-on experience in data cleansing, data transformation, and data quality management.
• Hand-on experience in developing dashboards using data visualization tools e.g., Qlik Sense, Power BI and etc.
• Knowledge of MariaDB, MySQL, and PostgreSQL.
• Experience in Windows, and Linux variants, preferably Red Hat and Ubuntu.
• Experience in capacity planning, availability management and business continuity management.
• Experience in project management.
• Independent, highly motivated and a proactive team player who can work with minimal supervision.
• Excellent in written and verbal communication.

The following certifications while not necessary, will be an added advantage:

• Database Administrator Certified Professional for MSSQL/Oracle/MySQL
• ITIL Foundation Level
• Certified Professional in Data Analytics/Data Visualization/Data Virtualization/Machine Learning
• AWS/Azure Certifications

Role and Responsibilities

• Able to understand and analyze user requirement to perform development of new data marts or enhancements to existing data marts applications.
• Perform design of simple data models and development of extraction, loading and transformation (ETL) rules based on user requirements
• Prepare technical design specifications based on the projects and change request assigned
• Assist in establishing a set of consistent BI skills, standards, and best practice as well as the evaluation of BI and analytical software
• Evaluate potential technical solutions and make recommendations to resolve business problems.
• Involvement in the system integration testing phase prior to implementation.
• Liaise closely with business analysts and build good rapport.
• Liaise closely with vendors in project implementation, application testing, supporting application patches and upgrades in accordance with project methodologies and policies.
• Support the team in defining project requirements, tracking and documentation.
• Provide guidance and coaching to junior team members.

Requirements / Qualifications:

• Minimum 2 to 5 years of experience in developing, implementing and maintaining IT systems related to business intelligence and data mart projects
• Thorough understanding of data warehouse principles and dimensional design is also expected
• Prior work on ETL rules, data modelling and design with any of the BI Applications is strongly preferred
• Very strong SQL skills using Oracle and SQL Server databases
• Ability to diagnose and troubleshoot problems with ETL processes
• Experience in MS Windows environment & application support.
• Strong analytical skills and ability to work independently.
• Experience in healthcare industry is an added advantage. Degree in Computer Science, Computer Engineering or equivalent.

Experience with any of the ETL tools preferably Informatica / SAP BODS and any BI reporting tools preferably OBIEE / Tableau

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

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

Role: Senior Data Engineer

Job level: More than 10 years of relevant experience (L4)

Key skills:

AS400, Hadoop, Data Lake, SQL, Informatica

Key Responsibilities:

· Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

· Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

· Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third-party tools), BMC monitoring tools

· Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

· It will be good to have experience in working with No SQL as well as virtualized Database Environment

· Implement data transformations, aggregations, and computations using Spark RDDs, Data Frames, and Datasets, and integrate them with Elasticsearch

· Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

· Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

· Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

· Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

· Flexibility to stretch and take challenges

· Communication & Interpersonal skills

· Attitude to learn and execute

Key Requirements:

• 7+ years of AS400, RPG, CLP & SQL

• Knowledge of Aldon Change Management System(ACMS) is a must·

• Experience in developing Hadoop

• Experience in data lake (integration of different data sources into the data lake)

• SQL Stored Procedures/Queries/Functions

• Unix Scripting

• Experience with distributed computing, parallel processing, and working with large datasets

• Familiarity with big data technologies such as Hadoop, Hive, and HDFS

• Job Scheduling in Control-M

• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

• Familiarity with version control systems (e.g., Git) and collaborative development workflows

• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Are you passionate about database management and eager to kickstart your career as a Database Administrator (DBA)?

• Working Hours: Mon-Fri
• Working Location: Central
• Salary Package: Up to $3800 (basic) + AWS + VB

Join our team to gain hands-on experience with Oracle SQL and database tuning.

Responsibilities:

• Assist in maintaining and optimizing database performance through tuning and indexing.
• Learn and utilize Oracle SQL for database administration tasks.
• Support database backup and recovery procedures.
• Collaborate with senior DBAs on database design and optimization projects.
• Monitor database systems to ensure reliability, availability, and security.
• Troubleshoot and resolve database-related issues as they arise.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Basic understanding of relational databases and SQL concepts.
• Familiarity with Oracle SQL is a plus.
• Strong analytical and problem-solving skills.
• Ability to work well in a team environment and communicate effectively.
• Eagerness to learn and grow in the field of database administration.

Perks:

• Comprehensive training program to develop your skills as a DBA.
• Opportunity to work with experienced professionals and gain valuable mentorship.
• Competitive salary and benefits package.
• Collaborative and supportive work culture.

If you are excited with this opportunity and enjoy making things happen, do apply now!

OR

Email your updated resume to: speytu(at)scientecpersonnel.com by quoting "J43997" in your email subject for faster processing.

All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

Job Responsibilities:

• To oversee data projects, operations and initiatives in the Great China & Intercontinental region in both Commercial and Medical areas
• To be able to support and partner in country data operations and engineering leads
• To oversee analytics operations in the region in alignment with global data operations/engineering teams
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• To lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Maintain high level of customer service with business and commercial leads

Job Requirements:

• With at least 10 years of established experience in a technology role
• Bachelor Computer Science / Computer Engineering, or equivalent experience
• Proven data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams

To apply, please visit www.gmprecruit.com and search for Job Reference: 24081

To learn more about this opportunity, please contact Yi Fang at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Law Yi Fang | Registration No: R1113115

Responsibilities for Data Entry Clerk

• Receive and process documents accordingly
• Accurately enter data into corresponding fields within various software programs
• Identify and correct data entry errors using appropriate quality control methods
• Perform related tasks like ordering office supplies and filing documents
• Manage and organize records and files
• Prepare relevant reports as needed
• Provide general data entry support across many teams on an ad-hoc basis

Qualifications for Data Entry Clerk

• 2 years of data entry experience or related office experience
• Strong computer skills
• Ability to enter data into a computer quickly and accurately
• Strong attention to detail
• Ability to think analytically

Responsibilities

• Gather and analyse requirements from business.
• Perform data discovery and analysis from the bank’s data platform to ensure requirements are feasible.
• Conceptualise dashboard design through wireframes and prototypes.
• Build complex visualizations in QlikView and other BI visualisation tools, that will help derive insights for user.
• Apply best practices on user interface/user experience (UI/UX)
• Support the publication of the dashboard in production.
• Conduct trainings and roadshows to promote awareness and usage from target users.
• Assist other data discovery tasks (non-dashboard related) that the team is working on.
  
  Requirements
• Bachelor’s degree in Business Analytics, Computer Science or equivalent.
• Knowledge in Business Intelligence (BI) tools, Visualization tools, and scripting
• Knowledge in using SQL
• Ability to convert data into meaningful information
• Good problem solving skills
• Good interpersonal, communication and presentation skills
• Effective time and stakeholder management skills
  Interested candidates may send their resume and cover letter directly to [email protected] ,stating the position as the subject title in the email.
  Hibah Bakhtavar |EA License No. 023423 | Personnel Registration No. R21103109

Responsibilities

• Develop predictive models to identify high-value users for Marketing and Commercial teams
• Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives
• Develop attribution models to quantify the impact of different campaigns, channels, and other initiatives on conversions
• Design and implement experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives
• Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions

Qualifications

• 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
• Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
• Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus
• Expert in machine learning and statistical modeling to drive data-informed decisions, experience with deploying production machine learning models a plus
• Experience in technology, financial services and/or a high growth environment is advantageous

Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.
Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.
Strong SQL, Python, Java and Unix shell scripting
Incident, problem, and service Outage management experience is Plus.
Strong in data engineering concepts and programming
Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Experience in supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Provide operational support and ensure SLI of Applications
Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

Service Delivery
Batch scheduling and monitoring
ETL Development
SQL

We are an interior design company located at AZ@Paya Lebar

Duties

• Data Entry, maintaining and entering information into database

• Performing general office admin duties and errands

• Assisting organize and maintain office common area

• Good knowledge of MS Office (e.g Microsoft excel)

• Answer and direct phone calls

• Perform other ad-hoc duties as assigned from time to time

PRODUCT AREA

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.

Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.

Qualifications

JOB RESPONSIBILITIES

• Manage data center operations, communicate priorities, and facilitate sharing operations with following shift leads.
• Work together to identify and resolve problems, and create solutions for global computing and network architecture.
• Hire, coach, and develop a team while achieving strategic business goals, and manage the implementation of projects within the team.
• Ensure data center-related priorities are consistent with company objectives.
• Implement and drive the safety culture at the site, while building a diverse and collaborative team environment.

MINIMUM QUALIFICATIONS

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in computing infrastructure, networking, operating systems, or hardware.
• 2 years of experience managing technical teams, vendors, or contract management and delivery.

PREFERRED QUALIFICATIONS

• Experience with initiating and executing strategic initiatives in a global environment.
• Experience leading and improving Environmental Health and Safety initiatives.
• Experience working in data center environments, building and operating large-scale infrastructure, network, compute architecture, lifecycle, and Linux/Unix system administration.
• Ability to implement and drive the safety culture, while building an inclusive and collaborative team environment.
• Excellent problem-solving skills.

· Pro-actively monitors the data centre systems’ uptime and connectivity to ensure system availability to prevent any down time

· Execution and monitoring of batch jobs schedule as per daily job requirements,

· Perform request fulfilment to register customer request etc Adhoc / Data Recovery SR)

· Account password safekeeping and management. Includes routine inventory checks and reports.

· Executes mirroring jobs, server shutdown and start up during dedicated batch downtime through mainframe.

· Coordinate with various stakeholders / Batch owner to fix the technical issues on time to provide timely support to customers.

· Performs Incident escalation (Ensure incidents are responded and attended to, else redirect to Ops Mgr base on criticality, impact and SLA).

· Provide 7days/ 24 hours on call support for any batch job issue

Regards,

Lini

Recruitment Consultant

R22108463

Responsibilities

Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
It will be good to have experience in working with No SQL as well as virtualized Database Environment

Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

Flexibility to stretch and take challenges

Communication & Interpersonal skills

Attitude to learn and execute

Key Requirements

· 7+ years of AS400, RPG, CLP & SQL

· Knowledge of Aldon Change Management System(ACMS) is a must·

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Job Responsibilities:

• Troubleshoot and provide support for production application software and systems.
• Provide first-level support for IT-related issues on the production floor.
• Provide maintenance support for production software applications.
• Actively participate in software development and system testing processes.
• Ensure comprehensive documentation of software applications.
• Ensure compliance with ISO standard operating procedures.

Job Requirements:

• Diploma in Computer Technology or equivalent (with / without experience)
• Experience in software application development is desirable
• Visual Basic programming in Oracle databases preferred
• Good analytical and troubleshooting skills
• Providing Factory software development and support role
• Good communication skills and interpersonal skills

To apply, please visit www.gmprecruit.com and search for Job Reference: 23933

To learn more about this opportunity, please contact Yi Fang at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Law Yi Fang | Registration No: R1113115

Job Scope

· 24/7 rotational standby

· Comfortable to work 12 hour shift

· Work 4 days off 3 days

· On-site Management of works conducted within the Data Centre such as site preparation

· Manage and mitigate any onsite issues

Requirement

· Experience in the Information Technology Industry

· Minimum 2 years of experience in DC Operations Support

· Possess initiative with positive working attitudes

· Independent and goal-oriented

· Good team player

· Good communication and interpersonal skills

· Able to work shifts to support 24x7 Data Centre operations

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Position: Data Analyst

Responsibilities:

• Support data management activities within the Enterprise Data Warehouse, contributing to a major project initiative led by the Data Strategy Group.
• Collaborate with cross-functional teams to ensure the integrity, accuracy, and efficiency of data processing and analysis within the Enterprise Data Warehouse environment.

Requirements:

• Bachelor's degree in Computer Science or related disciplines
• A CAT-1 clearance or eligibility is essential for this position.
• Proficient in data analysis methodologies, with a demonstrated ability to extract actionable insights from complex datasets.
• Experienced in overseeing data reconciliation and quality assurance processes, encompassing implementation, continuous monitoring, and effective troubleshooting to uphold data integrity standards.
• Hands-on expertise with Oracle PL/SQL for proficient data manipulation and management.
• Demonstrated experience in conducting User Acceptance Testing (UAT) to validate system functionality and ensure alignment with business requirements.
• Ability to effectively manage Service Level Agreements (SLAs) and promptly address end-user queries to maintain optimal system performance and user satisfaction.
• Experienced in providing comprehensive documentation support, including technical and functional specifications, to facilitate transparency and clarity in system processes and requirements.
• Possesses a solid understanding of finance domain principles and practices to effectively align data management activities with organizational objectives and regulatory compliance.
• Strong problem-solving skills and logical thinking abilities to tackle complex data management challenges effectively.
• Experience with Snowflake and Denodo platforms is considered advantageous, although not mandatory.

Assist and support the conduct of grants’/business operations’ data analysis and to identify variances, anomalies, trends, behaviours etc. to facilitate the performance of analytical review. This is to support and enabling business divisions to leverage statistical methods to detect variations and areas that require further investigation.

Responsibilities

• Assist and coordinate with relevant business division/programme partners to determine the programme data source for relevant data consolidation.
• Assist and support the performance of data analysis and data mapping, where appropriate, to facilitate the identification of unusual trends, anomalies, behaviour etc.
• Prepare the relevant data and/or information and conduct of analytical review.
• Assist the deep dive review into the identified trend and behaviour to further review for specific indications of non-compliances and/or potential suspected fraud.
• Assist to develop suitable data review processes that can assist business divisions in the upstream early detection of potential issues in the grants administration and processing.
• Coordinate with relevant business divisions on referral cases of potential suspected fraud for further inquiry and investigations by IAU.
• Timely management and maintenance of WSG blacklist listing.

Requirements

• Basic critical thinking and problem-solving skills – ability to understand beyond the numbers and its implications
• Ability to review complex dataset and develop suitable data review approach to support the achievement of the objectives of data analysis deliverables
• In-depth knowledge of using analytical formulas and functions for MS Excel and other relevant analytical tools, such as data visualization, as well as experience in simple data cleaning
• Knowledge and experience in basic analytical review is essential
• Good communication & presentation skills and inter-personal skills to engage with relevant stakeholders
• A team player with good inter-personal skills
• Driven, meticulous and able to multi-task and work with least supervision
• Good system and processes development acumen. Knowledge related to financial and auditing concepts, accounting principles are an added advantage.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

Job Description & Requirements:

As a Data engineer, you will be a part of a highly qualified team, leading the delivery of modern data platforms using Azure Services and Databricks.

• Designing and delivering software using an agile and iterative approach based on Scrum or Kanban
• Following and contributing to improvement of client's software engineering practices e.g., source code management, test-driven development, automated testing, CI/CD
• Supporting the Lead Data Engineer in technical architecture and design
• Building an understanding of how data is used within client's commercial activity, and using this knowledge when working with Business Analysts or users to identify system requirements
• Analyzing and estimating IT changes giving input on technical opportunities, constraints, and trade-offs
• Creating documentation and presenting to technical and non-technical audiences
• Providing handover to Support teams and providing third line support for short periods after releases
• Owning their own learning so that they remain a technical subject matter expert.

Technical Skills

• Having solid experience in data modeling, data warehousing, SQL Server database design and development (SQL, relational and dimensional modelling) Analytical querying using technologies such as SSAS cubes or columnar data stores, Python.
• ETL tools such as SSIS, Alteryx, Azure Data Factory
• Building data pipelines using code e.g. Pyspark
• Modern cloud-based data architectures and technologies such as Data Lake, Delta Lake, Data Lakehouse e.g. Azure Data Lake Gen 2, Azure Delta Lake Lakehouse architecture using Databricks, Hudi or Iceberg
• NoSQL using CosmosDB, MongoDB, DynamoDB etc.
• Python scripting, including data engineering and machine learning libraries
• Scripting languages such as Powershell, bash, DAX, M-language etc. (Note - We primarily use SQL, Pyspark and Python in our day-to-day work along with some coding around DAX, Bash, Powershell and other scripting languages. )
• Distributed computing mainly around Spark § Big data files formats e.g. Parquet, Avro, ORC etc.
• Big data technologies such as Hadoop, Hive, Map-Reduce, Partition design, performance tuning in Spark etc.
• Reporting and visualisation tools such as SSRS, Tableau, Power BI or Excel

Skills & Competencies

Data engineer, Kanban, scrum, powerBI, python, excel, SQL, tableau, SSIS, reporting, data analytics, azure, cloud

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities:

Contribute to building and maintaining data systems or pipelines.
Perform setup, installation, configuration, troubleshooting, and upgrades for COTS products.
Develop and implement improvements for data warehouses, data lakes, or equivalent platforms.
Participate in creating documentation, including design documents and troubleshooting guides.

Requirements:

Possess knowledge and/or hands-on experience in data management or data engineering.
Demonstrate proficiency in Linux commands, shell scripting, and various programming languages.
Experience with relational databases and NoSQL databases, data integration tools.
Familiarity with data/search/automation platforms and analytics tools
Knowledge and/or practical experience with Microsoft Azure Cloud services

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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Responsibilities:

•Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.

• Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.

• Pushing the limits: This role will be on the cutting edge of our Data / Machine Learning platform. As we push to solve more of our customer challenges, you will be prototyping new features, tools, and ideas. Innovate at a very fast pace to maintain our competitive edge.

• Distributed Processing Engine: You will be masterfully working on the data platform which involves processing of both unbounded and bounded data sources, perform im-memory computation & transformation.

• Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.

• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.

• Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems

Skills: .

• Qualifications for Data Platform Engineer

Key Requirements:

• IT / CS fundamentals: You have earned at least a Bachelor’s / Master’s in Information Technology / Computer Science, or related degree AND you have a strong ethos of continuous learning.

• Commercial software engineering: You have 11+ years of professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills. Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging.

• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark. You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.

• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay.

• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques. Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies.

• Real Time Systems: Understands evolution of databases for in-memory, NoSQL & indexing technologies along with experience on real-time & stream processing systems like Google pub/sub, GCP technologies, Kafka, Storm, Spark Streaming.

• Strong design skills: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration. Advanced, hands-on knowledge of design, implementation, and optimization of big data architectures, pipelines, and data sets.

Job Responsibilities:

• Collate large, complex data sets from diverse data sources
• Responsible for data preparation, data mining, to generate and identify opportunities through analytics.
• Perform exploratory data analysis and provide rapid iterations to refine issues and identify potential solutions
• Interpret and effectively communicate analytical findings and insights to both technical and non-technical stakeholders, facilitating data-driven decision-making
• Play a role in advancing data science infrastructure, tools, and frameworks to enhance efficiency in data analysis, experimentation, and model deployment
• Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Job Requirements:

• Master’s / Bachelor’s Degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar), with 3 years of relevant experience
• Possessed experience with Python, R, or similar programming languages
• Working knowledge of data analysis tools and databases
• Strong analytical skills, with experience solving problems using data and providing practical business insights
• Comfortable with dealing with sets of data points from different sources
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders

To apply, please visit www.gmprecruit.com and search for Job Reference: 24105

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

We regret that only shortlisted candidates will be notified.

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

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Role: Data Engineer

Job Title: Senior Data Engineer

Job Requisition Number: JR30694

Job Level: More than 10 years of relevant experience (L4)

Location: Singapore

Key Skills: AS400, Hadoop, Data Lake, SQL, Informatica

Job Objectives:

Work in Data Lake integration.

Key Responsibilities:

Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
It will be good to have experience in working with No SQL as well as virtualized Database Environment

Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

Flexibility to stretch and take challenges

Communication & Interpersonal skills

Attitude to learn and execute

Key Requirements:

· 7+ years of AS400, RPG, CLP & SQL

· Knowledge of Aldon Change Management System(ACMS) is a must·

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

As a Data engineer, you will be a part of a highly qualified team, leading the delivery of modern data platforms using Azure Services and Databricks.

Responsibilities:

• Designing and delivering software using an agile and iterative approach based on Scrum or Kanban
• Following and contributing to improvement of client's software engineering practices e.g., source code management, test-driven development, automated testing, CI/CD
• Supporting the Lead Data Engineer in technical architecture and design
• Building an understanding of how data is used within client's commercial activity, and using this knowledge when working with Business Analysts or users to identify system requirements
• Analyzing and estimating IT changes giving input on technical opportunities, constraints, and trade-offs
• Creating documentation and presenting to technical and non-technical audiences
• Providing handover to Support teams and providing third line support for short periods after releases
• Owning their own learning so that they remain a technical subject matter expert.
• Any ad-hoc duties as assigned by supervisors.

Technical Skills:

• Having solid experience in data modeling, data warehousing, SQL Server database design and development (SQL, relational and dimensional modelling) Analytical querying using technologies such as SSAS cubes or columnar data stores, Python.
• ETL tools such as SSIS, Alteryx, Azure Data Factory
• Building data pipelines using code e.g. Pyspark
• Modern cloud-based data architectures and technologies such as Data Lake, Delta Lake, Data Lakehouse e.g. Azure Data Lake Gen 2, Azure Delta Lake Lakehouse architecture using Databricks, Hudi or Iceberg
• NoSQL using CosmosDB, MongoDB, DynamoDB etc.
• Python scripting, including data engineering and machine learning libraries
• Scripting languages such as Powershell, bash, DAX, M-language etc. (Note - We primarily use SQL, Pyspark and Python in our day-to-day work along with some coding around DAX, Bash, Powershell and other scripting languages. )
• Distributed computing mainly around Spark § Big data files formats e.g. Parquet, Avro, ORC etc.
• Big data technologies such as Hadoop, Hive, Map-Reduce, Partition design, performance tuning in Spark etc.
• Reporting and visualisation tools such as SSRS, Tableau, Power BI or Excel

Interested applicants, please email your resume to Karin Chan Wei Kien

Email: [email protected]

CEI Reg No: R1104584

EA Licence No: 99C4599

Recruit Express Pte Ltd