Senior Application Consultant- Contract

Quess Engineering · Singapore

Sector
Data & Analytics
Function
Strategy & Operations
Level
Mid-Level
Employment type
Contract
Posted
2026-10-21
Source
mycareersfuture

Design, develop, and maintain scalable batch and real-time data pipelines.Build and support robust ETL/ELT frameworks for data ingestion, transformation, integration, and processing of large datasets.Perform data extraction, cleansing, validation, enrichment, and transformation activities to ensure high data quality.Develop reusable components, automation scripts, and process improvements to enhance delivery efficiency.Design and implement enterprise data solutions across Data Warehouses, Data Lakes, Data Lake house, and Data Marts.Develop and optimize cloud-native data architectures using AWS and Azure platforms.Implement and support metadata management, data lineage, and data quality monitoring frameworks.Ensure platform scalability, performance, reliability, security, and operational excellence.Develop complex SQL queries and data models to support reporting, analytics, and business intelligence requirements.Manage and optimize cloud-based data services and support large-scale data processing environments.Support DataOps and DevOps initiatives through automation, monitoring, testing, and continuous improvement practices.Implement and support CI/CD processes, workload optimization, and operational monitoring.Design, develop, and maintain enterprise-level dashboards and reporting solutions using Tableau, MicroStrategy, and Power BI.Configure, administer, and support BI platforms, servers, user access controls, and reporting environments.Collaborate with business stakeholders to gather requirements and deliver data-driven solutions.Establish and maintain data governance, security, and compliance frameworks.Implement role-based access controls, auditing, encryption, and data protection mechanisms.Define and enforce data quality standards, monitoring processes, and governance policies.Utilize Cloudera, Hive, PySpark, Informatica, SQL Server, Oracle, MySQL, Teradata, AWS, and Azure technologies to support enterprise analytics solutions.Experience working in Singapore Government, public sector, healthcare, banking, or other regulated environments.Exposure to Databricks, Python, PySpark, Infrastructure as Code, Generative AI, LLMOps, Vector Databases, and modern AI application architectures is advantageous.Strong analytical, problem-solving, stakeholder management, and communication skills.8 years of experience in Data Engineering, Data Integration, Data Warehousing, Business Intelligence, and Data Platform Development.Key Skills:Bachelor's Degree in Computer Science, Information Technology, Engineering, Information Systems, or related discipline.8 years of experience in Data Engineering, Data Integration, or Data Platform development.Strong SQL and Python programming skills.Experience building production-grade ETL/ELT pipelines.Experience of Informatica, Cloudera, MicroStrategy and Tableau.Experience working with cloud data platforms and services.Strong understanding of data modelling concepts and database design.Experience with Agile delivery methodologies.Experience with Python, R, or PySpark for data analysis and automation.Familiarity with cloud platforms such as AWS, Azure in GCC environments.Experience and certification of DatabricksExperience of using state-of-the-art AI tools to increase productivity of data engineering works.Experience of setting up or proficiently using DevOps.Familiarity with Generative AI, Vector databases, LLMOps, or AI application architecturesDisclaimer: 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 in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA. By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by Quesscorp and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at Quesscorp website and [https://www.e2i.com.sg/pdpa/]."

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Data & Analytics Cloudera PySpark large datasets Security Data Pipeline Data Warehouse Systems Cloud Native Architecture