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Urgent! Data Engineer Job Opening In Singapore, Singapore – Now Hiring HCLTech
Overview
We are seeking a skilled and passionate Data Engineer to design, develop, and maintain data solutions that support Business Intelligence (BI) and Data Warehouse initiatives.
In this role, you will work closely with Product Owners, Project Managers, and cross-functional teams to build scalable and secure data engineering products.
You will play a key role in enabling data-driven decision-making across the organization through efficient data pipelines, integration of diverse data sources, and strong data governance practices.
Responsibilities
Collaborate with the Product Owner to develop, implement, and maintain data engineering products for BI and Data Warehouse projects.
Design, develop, and deploy data solutions, including data tables, views, marts, pipelines, data warehouses, operational data stores, data lakes, and data virtualization.
Perform data extraction, cleaning, transformation, and flow, including web scraping as required for data acquisition.
Build and maintain large-scale, reliable batch and real-time data pipelines using modern data processing frameworks.
Integrate and consolidate data silos into scalable and compliant systems.
Ensure adherence to quality processes and governance standards across the data product lifecycle, with a focus on production environment standards.
Implement and maintain data governance practices, ensuring compliance with security policies and regulatory requirements.
Work closely with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver scalable, data-driven products.
Develop backend APIs and work with databases to support applications.
Contribute to Agile development practices, including Continuous Integration and Delivery, pair programming, and code reviews.
Collaborate with business stakeholders to gather and analyse requirements, ensuring technical solutions align with business goals.
Support business users in developing front-end reports, dashboards, and visualizations to enhance data analysis capabilities.
Provide operational maintenance and technical support for deployed data engineering systems.
Manage incident response and service requests, ensuring timely resolution within established SLAs.
Participate in regular project audits and provide training support to team members and stakeholders as needed.
Knowledge and Skills
At least 5 years of experience as a Data Engineer.
Proficient in data cleaning and transformation using SQL, Python (or R), and related tools.
Strong experience in building ETL/ELT pipelines using SSIS, AWS DMS, Python, AWS Lambda, ECS, EventBridge, AWS Glue, or Spring.
Proficient in database design and management across multiple databases such as SQL, PostgreSQL, AWS S3, Athena, MongoDB, MySQL, SQLite, VoltDB, Cassandra, etc.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience in big data environments and cloud-based data engineering solutions.
Proven experience in building production-grade data pipelines and integration workflows.
Strong understanding of system design, data structures, and algorithms.
Familiarity with data modelling, data storage solutions (Data Marts, Data Lakes, Data Virtualization, Data Warehouses) for optimal performance.
Working knowledge of REST APIs and web protocols.
Exposure to big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
Experience with web scraping tools and frameworks (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js).
Understanding of data governance policies, access control, and security best practices.
Proficiency in at least one scripting language (e.g., SQL, Python).
Comfortable working in both Windows and Linux development environments.
Strong interest in bridging engineering and analytics functions.
Excellent communication and collaboration skills, with the ability to work closely with stakeholders and technical teams.
Seniority level
Associate
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 33479 jobs in Singapore and 28811 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! HCLTech is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at HCLTech adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer interview at HCLTech, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the HCLTech's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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