Responsibilities:

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming data sources.
• Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.
• Work with members in the team to establish best practice and internal processes to enhance the data pipeline operations.
• Coach junior team members through architecture design review and code review.

Requirements/Skillset:

• At least 5 years of experience working as a data engineer or backend developerin a big data field.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Experience in application integration with Snowflake, Oracle and MS-SQL.
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools.
• Understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
• Familiarity with AWS services will be an added advantage.
• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
• Good communication and people skills required to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

EA License Number : 11C4879

Position: Collibra Data Developer, Data Quality
Employment Type: Permanent
Location: Central

Responsibilities:

• Act as an integral member of the Data & AI team, ensuring the delivery of high-quality data on our client's proprietary cloud-native Data & AI platform.
• Develop and maintain data quality modules to establish automated tracking and pre-emptive alerting mechanisms, aligning with governance principles.
• Collaborate with stakeholders to define procedures and rules for data validation and quality metrics, fostering a culture of data excellence.
• Formulate and execute plans to enhance data quality, identifying the root causes of errors and discrepancies and proposing effective solutions.
• Create Data Quality health reports for stakeholders, providing a transparent view of data reliability across the entire platform.
• Implement best practices in software development, including Agile, DevOps, and CI/CD, to accelerate delivery, break down cultural barriers, and advocate for automation tools driving build and test processes.
• Document work and new procedures comprehensively, ensuring colleagues can interpret and replicate the work seamlessly.
• Deliver consistently accurate, high-quality work, communicating findings and insights in a clear and compelling manner.

Job Requirements:

• Possess a minimum of 3 years of hands-on experience with the Collibra Data Quality tool and Databricks.
• Demonstrate strong technical skills in data and database management, with proficiency in data wrangling, analytics, and transformation using Python and SQL.
• Exhibit proficiency in visual storytelling through data visualization techniques.
• Experience in implementing data projects or change management is considered an advantageous asset.
• Possess a CFA Level 1-3 certification or a solid understanding of asset management, providing an added advantage.
• Asset Management experience is beneficial for comprehending and recommending the necessary data quality rules and remediation plans to stakeholders.

If keen, kindly forward your CV to [email protected]

Tangspac Consulting Pte Ltd
#03-02 The Octagon, 105 Cecil Street, Singapore 069534
EA Personnel Name: Olsem Stefanus Emmanuel
EA License: 07C3635 | EA Registration: R2094432

• Answering incoming calls and replying email.
• Assist Technical Sales Manager with paperworks and followup
• Prepares full set document from quotation to invoicing using SAP B1
• Call/text to customer upon their confirmation on appointment.
• Electronic File Management
• Ensuring outstanding orders are cleared within time frame.
• Liaise with Operations for goods readiness & ensure prompt delivery of goods to customers
• Any other ad hoc or admin. duties as requested.

Requirements and skills

• 5 working days per week
• Able to work in a fast-paced environment
• Excellent verbal and communication skills in both English and Mandarin is required, in order to handle inquiries from English and Chinese speaking clients promptly and ensure high levels of client servicing
• Proficient with Microsoft Office, mainly Word & Excel
• Strong communication and time management skills
• Meticulous, Responsible and customer service-oriented person
• Possess a positive working attitude and is able to work in both in team and independently
• Candidates with no experience are also welcome as training will be provided

We are looking to build a team of Data Business Analysts who can act as a bridge between technology and business to work on data solutions. If you are a self-starter who looks at data as both science and art and enjoys partnering with both business and technology to drive tangible business outcomes, we welcome you to apply for the role.

Responsibilities:

• Work with Business Stakeholders, Project Managers and Technology teams to assist in the implementation and maintenance of data projects.

• Work with business stakeholders to understand business requirements and translate business requirements into data requirements.

• Conduct data mapping workshops with technology teams and business stakeholders to source for required data.

• Create validation datasets for business stakeholders to ensure requirements are met.

• Provide ETL team with clear understanding of data mapping and discuss on potential code optimisation.

• Work with business stakeholders to come up with data quality rules.

• Engage with both business and technology stakeholders during testing, driving defect investigation and resolution.

• Support change requests by assessing impact on downstream processes and driving required changes in mapping.

• Support documentation of data-related artefacts required for compliance with data governance.

Experience / Skills:

• Good communication skills and experience in collaborating with different team members from business and technology.

• Good understanding of enterprise applications, business processes and business requirement analysis.

• Analytical, detail-oriented, ability to manage timelines and adapt to project needs.

• Work experience in regulatory reporting projects such as IFRS 4, IFRS 17, BCBS 239 etc. is added advantage.

• Advanced proficiency in SQL, or any other data querying language.

• Advanced proficiency in Microsoft Excel.

• Proficient knowledge of Tableau, Power BI, or other business intelligence tools.

• Insurance domain knowledge is an added advantage.

Qualification:

• Degree in Maths / Statistics / Analytics / Technology / Business or a relevant discipline.

• 3 to 5 years of experience in a business analyst or data analyst role working with business stakeholders.

• Working experience in at least one project related to business intelligence, reporting or data warehousing.

• Having 1 or more of the following experiences:

o Working knowledge in database and system design.

o Working knowledge about querying data, data visualization and data analysis.

o Performed in the role of a business analyst in analytics or reporting capacity.