Job Scope:

• 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

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.

Able to work independently, with initiative and minimal guidance/supervision

Responsibilities:

• Overseeing data projects, operations and initiatives regionally in both Commercial and Medical areas
• Overseeing analytics operations in the region in alignment with global data operations/engineering teams
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• 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
• Oversee region data security and compliance
• Manage relationships with Technology heads from each countries, including business and commercial teams and global support teams

Requirements:

• Bachelor Computer Science / Computer Engineering, or equivalent experience.
• At least 10 years of established experience in a relevant technology role, especially in 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
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24078

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

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Job Scope:

• Commercial software engineering: Have strong 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

Job Requirements:

• 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
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• 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

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.

Able to work independently, with initiative and minimal guidance/supervision

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient big data platform solutions.

• Design and architect robust big data platforms, ensuring high performance, reliability, and scalability.

• Implement end-to-end data processing workflows, from data collection to analysis and visualization.

• Work closely with data scientists, analysts, and engineers to optimize data models and algorithms for efficient and accurate data analysis and mining.

• Lead the implementation and deployment of big data technologies, ensuring smooth integration with existing systems and infrastructure.

• Provide technical guidance and mentorship to development teams on big data best practices, tools, and technologies.

• Collaborate with stakeholders to define data governance and security policies and ensure compliance.

• Conduct performance tuning, monitoring, and troubleshooting of big data platforms to optimize performance and reliability.

• Stay up-to-date with industry trends and advancements in big data technologies and DevOps practices, and provide recommendations for adoption as appropriate.

• Successfully deliver projects, including big data platform implementations, data warehouse architectures, data analysis and mining, and user profiling and tagging systems.

Qualifications:

• Bachelor's degree in Computer Science, Computer Technology, or a related field. Advanced degree preferred.

• Proven experience as a Big Data Architect, with extensive experience in planning, designing, implementing, delivering, and maintaining big data platforms.

• Proficiency in the entire data processing workflow, including data collection, cleansing, preprocessing, storage, analysis, mining, and visualization.

• Demonstrated project experience in designing, developing, delivering, and deploying BI products.

• Strong project experience in business analysis and data applications in mainstream industries such as virtual currency, food delivery, internet retail, freight logistics, banking, finance, and e-commerce.

• Knowledgeable in big data technologies, frameworks, and tools such as Hadoop, Kafka, Flume, Spark

• Skilled in microservices deployment and maintenance, with expertise in DevOps practices.

• Involved in data warehouse architecture design and implementation, data analysis and mining, and user profiling and tagging system design and development.

• Successfully implemented projects in the field of big data, data warehousing, and business intelligence.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

This is a 12 months contract assinged to our clients

Work Location:Suntec Office Tower

Salary: $3,500-$4,000

Job Description:

1. Possess a recognised Degree relevant in the service industry.

2. Have at least 3 years of relevant experience in contact centre industry including data/trend prediction &

analysis, self-help migration.

4. Actively making FAQs refinement, recommend CSOs training needs based on customer experience.

5. Fresh graduates are welcomed too (knowledge of Data Analysis)

Responsibilities:

·Plan, execute, monitor and assist in the installation and ongoing support and maintenance of all hardware, software and networks in project delivery

·Conduct root cause analysis & implement pro-active measures

·Responsible for supporting operational systems satisfying contractual Service Level Agreement

·Perform and manage routine preventive maintenance and operational activities promptly and effectively

·Perform troubleshooting and fault rectification

·Provide up-to-date project documentation and reports

·Diagnose and rectify technical issues

·Perform standby duties if required

Requirements:

·Experience in Windows server OS, Unix/Linux OS & virtualization environment (VMware, HyperV etc.)

·Strong troubleshooting skills and analytical mind with problem-solving aptitude

· Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment

·Pro-active, dynamic and with good analytical/conceptual thinking

·Able to work independently as well as in a team and good interpersonal skills

·Good Working knowledge with VPN, firewall appliances would be an advantage

·Good working knowledge with routers, switches would be an advantage

·Good working knowledge in hardware like servers, storage area networks (SAN), network-attached storage (NAS) devices

•Experience in hardening of OS, system and network equipment

•Experience in Patch Management

•Good Knowledge of IT Infra services like Active Directory, DHCP, DNS, Exchange/Mail Service, Database, Web or App Server etc.

·Entry level candidates are welcome. Candidates with more/ complexity of experience will be considered for a senior role.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Job Scope:

• Commercial software engineering: Have strong 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

Job Requirements:

• 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
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong 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

Job Requirements:

• 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
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong 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

Job Requirements:

• 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
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong 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

Job Requirements:

• 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
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Cloud Data Engineer (AWS, Databricks, and Informatica IDMC)

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Responsibilities:

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

· Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

· Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

· Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

· Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

· Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

· Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

· Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

· Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

· Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

· Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

· Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

· Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

· Bachelor’s or master’s degree in computer science, data engineering, or a related field.

· Minimum 5 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

· Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

· Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

· Strong knowledge of SQL and NoSQL databases.

· Familiarity with data modeling and schema design.

· Excellent problem-solving and analytical skills.

· Strong communication and collaboration skills.

· AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

· Experience with big data technologies like Apache Spark and Hadoop on Databricks.

· Knowledge of containerization and orchestration tools like Docker and Kubernetes.

· Familiarity with data visualization tools like Tableau or Power BI.

· Understanding of DevOps principles for managing and deploying data pipelines.

· Experience with version control systems (e.g., Git) and CI/CD pipelines.

· Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Preethi Kanthappan

Reg No: R1765546

Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient big data platform solutions.
• Design and architect robust big data platforms, ensuring high performance, reliability, and scalability.
• Implement end-to-end data processing workflows, from data collection to analysis and visualization.
• Work closely with data scientists, analysts, and engineers to optimize data models and algorithms for efficient and accurate data analysis and mining.
• Lead the implementation and deployment of big data technologies, ensuring smooth integration with existing systems and infrastructure.
• Provide technical guidance and mentorship to development teams on big data best practices, tools, and technologies.
• Collaborate with stakeholders to define data governance and security policies and ensure compliance.
• Conduct performance tuning, monitoring, and troubleshooting of big data platforms to optimize performance and reliability.
• Stay up-to-date with industry trends and advancements in big data technologies and DevOps practices, and provide recommendations for adoption as appropriate.
• Successfully deliver projects, including big data platform implementations, data warehouse architectures, data analysis and mining, and user profiling and tagging systems.

Qualifications:

• Bachelor's degree in Computer Science, Computer Technology, or a related field. Advanced degree preferred.
• Proven experience as a Big Data Architect or Senior Big Data Engineer, with extensive experience in planning, designing, implementing, delivering, and maintaining big data platforms.
• Proficiency in the entire data processing workflow, including data collection, cleansing, preprocessing, storage, analysis, mining, and visualization.
• Demonstrated project experience in designing, developing, delivering, and deploying BI products.
• Strong project experience in business analysis and data applications in mainstream industries such as virtual currency, food delivery, internet retail, freight logistics, banking, finance, and e-commerce.
• Knowledgeable in big data technologies, frameworks, and tools such as Hadoop, Kafka, Flume, Spark
• Skilled in microservices deployment and maintenance, with expertise in DevOps practices.
• Involved in data warehouse architecture design and implementation, data analysis and mining, and user profiling and tagging system design and development.
• Successfully implemented projects in the field of big data, data warehousing, and business intelligence.

Sumit Sambhi

EA License No. – 23C2060

EA Registration No. - R1330510

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Scope:

• 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

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.

Able to work independently, with initiative and minimal guidance/supervision

Job Scope:

• 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

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.
• Able to work independently, with initiative and minimal guidance/supervision

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn

• Strong support from management to invest in data
• Help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the company
Our Client is an established company within the financial services industry. With rapid expansion and technology investment plan, they are now looking for an Senior Data Engineer / Data Engineering to join their team. Your work will help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the job

Your role involves:

• Enhancing data integrity and establishing protocols for identifying anomalies within datasets
• Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
• Establishing and refining monitoring practices, frameworks, tools, and libraries, and advocating for their adoption across different teams within the organization.
• Streamlining operations through automation, driving enhancements to our systems by advocating for changes that bolster resilience and dependability.
• Develop and maintain ETL processes for ingesting data from various sources
• Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems

Skills and experience required

As a successful applicant, you will be familiar with programming languages such as Python, Java, or Scala. Proficiency in utilizing diverse data storage and manipulation tools, including SQL, Elasticsearch or Snowflake. Familiarity with containerization and orchestration technologies like Docker, Kubernetes and etc. Exposure to ETL is required for this role.

Candidates from financial services industry background will be highly preferred.

Whats on offer

This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn (EA: 94C3609/ R1219669)

Key Responsibilities

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level

documentation

· Fluency in written and spoken English; Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big

picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 6 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Job Description:

• Performing Customer Data Management
• Drive process improvements and system efficiency enhancements
• Being an active part of,
• Processing Customer Data within SAP - MDG following set standards and procedures and within established Service Level Agreements (SLAs)
• Troubleshooting, and resolving any discrepancies in Customer Master information between source systems and the Hub
• Actively engaging with Cross Functional Business, and IT teams to resolve Customer Data Management issues
• Generating Reports and Quality Metrics

Requirements:

• With Diploma and 1 year of experience in managing cross-functional internal customers, with specific experience in utilizing various information management tools
• Have strong analytical skills with ability to learn new technical and non-technical processes
• Added advantage would be if you had hands-on experiences using SAP
• Working knowledge of PowerBI, Tableau, or RPA would be great
• Research or Data Management experience is an advantage

Additional Information:

• Located in CBP (Changi)
• Working hours: Office Hours from Monday – Friday, Office hours
• Up to $4500 (Depending on experience) + 1 Month Completion Bonus
• One Year Contract Role, Potential to Conversion to Perm and Extension of Contract.

To help us process your application, please visit www.gmprecruit.com/current-jobs to upload your resume on our website with GMP Job Code: 24065

We regret that only shortlisted candidates will be notified.
GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | Remus Gan | Registration No: R21102972

Job responsibilities:

• Monitor various monitoring facilities for software and hardware.
• Monitor application job flow which are scheduled by job scheduling software, and react to exceptions in accordance to Standard Operating Procedures
• Perform reports printing and distribution
• Manage IT-related incidents and problems reported via phone call or e-mail from staff
• Maintain Incident Logs for incidents and problems for all software, hardware and applications being monitoring
• Perform job submission, backup, recovery and restart in accordance to SOP or approved ad-hoc requests
• Perform first-level system and batch problem determination and resolution only, and escalation to second and third levels in accordance to Standard Operating Procedure.

Key Requirements

• Minimum Degree in IT or Computer Science from a recognized polytechnic/institution
• Minimum 2 years of working experience in relevant work area
  Experience in operating at least 3 of these platforms: AS400, Mainframe, Unix/Linux and Windows
• Proficient in using MS Office Suite of products
• Proficiency in Excel macros, pivot tables and charting is a plus.
• Good communication and interpersonal skills and proficient in English Language
• Proven ability to work independently and under pressure
• A good team player.
  

The Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STR) is seeking outstanding faculties in clinical data science research.

The Bioinformatics Institute (BII) is a computational biology research and postgraduate training institute as well as a national resource centre in bioinformatics within the Biomedical Research Council (BMRC) of A*STAR. Our scientists aim to understand the biomolecular mechanisms that underlie biomedical phenomena by developing sophisticated computational methods to support discovery from a secure and sustainable data hub to cross-disciplinary AI/ML analysis and data integration. We analyse a wide spectrum of biological and clinical data, including omics data (biomolecular sequences, expression profiles, epigenetics data), 3D structures of macromolecules, and biological tissue and macroscopic images from local and international academic, hospital and industry collaborators, public resources and also from in-house efforts. The institute has a vibrant and diverse research portfolio that includes infectious diseases, computational toxicology, precision medicine, oncology and drug discovery.

Watch the videos of BII Scientific Conference 2022 to know more about the research by different groups in BII.

https://www.youtube.com/playlist?list=PLcenRySmzqv76JVbdzg3z5kndDHN3FzBk

Job scope and responsibilities:

1. Heading a laboratory specializing in either one of the following:

a. Quantum Computing for biomedical applications

b. Clinical data hub and clinical data analysis

c. AI and generative models in healthcare applications (e.g. synthetic data)

d. AI in drug discovery

2. Collaborate closely with clinicians and with faculties within the Bioinformatics Institute and within the local ecosystem.

3. Collaborate with industrial partners to translate technologies into the clinics.

4. Lead or participate in research grant proposals (~SGD5million to SGD15million quantum).

Requirements:

· Outstanding research outcomes with strong publication records

· Excellent communication (oral and written) and public speaking skills

· Strong records of strategic thinking ability

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.