Responsibilities:

• Design and implement robust, scalable data pipelines and architectures to support data ingestion, processing, and storage. Including performance optimizations for data modeling and ingestion
• Develop and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis.
• Model data to meet different use casesng applications and automate data workflows.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Lead the integration of data from various sources into data lakes and warehouses, ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines and workflows to ensure optimal performance and reliability.
• Communicate with and support data users
• Document data processes, data models, and architectural designs to ensure knowledge sharing and compliance with best practices.

Prerequisites:

• Experience: Minimum 3 years in data engineering fields with system integration, and at least 1 year in system integration and implementation in cloud/web-based environments.
• Proven Solutions: Demonstrated experience in providing effective, working solutions and implementations, particularly in cloud-based environments.

Technical Skills:

• Solid understanding of ETL processes, data warehousing concepts, and data modeling best practices.
• Proficiency in Databricks, Azure Data lake, PowerBI, Tableau and related data processing and visualisation software.
• Familiarity with Windows, Linux, AWS and/or Azure platforms.
• Strong programming skills in languages such as Python and R is a must
• Proficiency in other programming languages such as Java, Scala and C# will be advantages
• Experience in data processing frameworks (e.g., Apache Spark, Apache Flink)

Preferred Exposure:

• Experience with large-data management system with visualisation tools.
• Experience with Data Integration and ETL Pipelines, Data Warehousing and BI reporting projects.
• Experience with Singapore Government Project will be advantages

Personal Attributes:

• Excellent problem-solving skills
• Ability to work independently
• Collaborative in a fast-paced environment

Why Join Us?
Be part of a forward-thinking team that is transforming government digital services. If you are passionate about technology and innovation, and thrive in a dynamic environment, we want to hear from you!

If you are passionate about building partnerships and driving growth, we would love to hear from you!

Toppan Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at www.topppanecquaria.com or www.linkedin.com/company/toppan-ecquaria

For more career opportunities, please visit our career site at:- https://toppanecquaria.com/careers/job-openings?utm_source=Jobstreet&utm_medium=Page&utm_campaign=2020 (Please copy & paste the above link onto your browser)

Job Description & Requirements

Responsibilities

Analyze and organize raw data

Build data systems and pipelines

Evaluate business needs and objectives

Interpret trends and patterns

Conduct complex data analysis and report on results

Prepare data for prescriptive and predictive modeling

Build algorithms and prototypes

Combine raw information from different sources

Explore ways to enhance data quality and reliability

Identify opportunities for data acquisition

Develop analytical tools and programs

Collaborate with data scientists and architects on several projects

Requirements and skills

Previous experience as a data engineer or in a similar role

Technical expertise with data models, data mining, and segmentation techniques

Knowledge of programming languages (e.g. Java and Python)

Hands-on experience with SQL database design

Great numerical and analytical skills

Degree in Computer Science, IT, or similar field; a Master’s is a plus

Data engineering certification (e.g IBM Certified Data Engineer) is a plus

2. SKILLS

Data Analysis

Analytical Skills

Pipelines

Segmentation

Hadoop

Architects

ETL

Data Quality

Reliability

Data Engineering

Data Mining

SQL

Predictive Modeling

Python

Database Design

Java

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We are a leading marketing and sales company in S.E.A, that works with both national and international MNCs, to help them boost their brand awareness and market shares.

What we do:

• Increase brand awareness and market share of our client
• Develop your communication skills
• Build your leadership capabilities

Benefits:

• Travelling opportunities to different markets eg Taiwan, Hong Kong, US, Australia, KL (based on performance)
• 1 to 1 mentorship and guidance
• Personal development workshops

Who we are looking for:

• Hardworking individuals
• Great learning attitude

Are you the one we are looking for? Apply now to get started!

Job description:

• Client currently has several ongoing projects on the Azure platform, including Finance, Commercials, and Operations. This role requires a support engineer primarily focused on existing projects and understanding the team's dynamics.
• The role requires someone capable of directly addressing system issues and resolving them.
• Users report issues, such as error messages and screenshots etc. The data engineer needs to log into the production system, trace processes end-to-end, identify the root cause, and resolve the problem.
• The engineer is expected to verify the accuracy of data and processes, ensuring correct numbers and outputs.)Operations

Requirements:

• At least (2) years of hands-on experience as Azure Data Engineer using:

- Azure Data Factory - Azure Synapse Analytics / Data Warehouse Preferably with relevant certifications from Microsoft including Azure Data

• Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate
• At least (2) years of hands-on experience in

- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

• At least (2) years of hands-on experience in

- Providing technical support (80%) & enhancements (20%) for existing applications in Azure

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 Description:

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Please send your detailed resume in MS Word format to : [email protected]

Stating your notice period / earliest available commencement date, Current & expected salaries.