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Data Engineer

1 month ago


Singapore COMBUILDER PTE LTD Full time
Roles & Responsibilities

We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. With over 10+ years of experience in the information technology industry, you will be responsible for leading mission-critical projects, designing and implementing technology solutions, and driving client relationships. The ideal candidate will have a proven track record of delivering large-scale, high-impact projects, working with cutting-edge technologies to solve complex business challenges. This role requires a blend of technical leadership, team management, and a deep understanding of data management and integration solutions.


Responsibilities:

  • Lead the design and implementation of complex ETL solutions. Play a pivotal role in solution presales to secure the interest of the key stakeholders.
  • Act as a primary point of contact for client interactions at all levels, including senior executives. Build and maintain strong client relationships, ensuring alignment on project goals and timelines.
  • Take ownership of ETL code delivery and ensure it meets high-quality standards.
  • Conduct code reviews and present completed work to clients and onsite teams.
  • Troubleshoot and resolve issues during the development and implementation phases.
  • Analyze and evaluate change requests (CR) and their impact on the project.
  • Collaborate with business stakeholders through regular status calls and meetings.
  • Lead and manage a team of technical experts, providing guidance, mentoring, and support.
  • Foster a collaborative work environment to ensure the successful delivery of projects.
  • Oversee the creation of technical documentation, including specifications and project plans.
  • Work closely with clients to understand their needs and propose technology solutions that address business challenges.
  • Ensure successful delivery of high-quality products on time and within budget.
  • Support the deployment process and coordinate with cross-functional teams to ensure smooth rollouts.
  • Identify, track, and resolve issues related to the development and deployment phases.
  • Leverage a broad range of technologies, including ETL tools, databases, scheduling tools, and Hadoop, to design and implement solutions.
  • Implement advanced solutions using IBM DataStage, Hive, and Hadoop ecosystem components.
  • Utilize SQL, PL/SQL, Unix, and Shell scripting to create customized solutions.

Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering or related field.
  • Minimum 10 years of experience in IT with a focus on data integration, ETL, and database management.
  • At least 3 years of experience in presales with demonstrated presales wins.
  • Proven expertise in handling large-scale, mission-critical projects from presales, tender preparation, demo, solution design, deployment to post implementation support.
  • Strong experience in managing teams and mentoring junior staff.
  • Strong written and verbal communication skills, with the ability to engage with senior executives and stakeholders.
  • Knowledge of cloud platforms and modern data architectures (AWS, Big Data, etc.).
  • implement a Business Intelligence (BI) solution for consumer banking division to capture customer product utilization and profile information across multiple countries
  • Facilitate the movement of data from existing databases to Data Lake (EDM) built on Hive. Data transformation and cleansing processes are at the core of this project.
  • Migrate data from DataLake (Hive) to AWS Cloud-based Database (EDM to AWS Cloud. The project involves complex data transformation, encryption, and tokenisation processes.
  • Develop an Operational Data Store (ODS) to support decision-making for customer service teams.
  • Integrate disparate data sources into a unified enterprise data warehouse to provide real-time customer insights
  • Ability to work under pressure and meet tight deadlines.

Tell employers what skills you have

Technical Documentation
Business Intelligence
Big Data
Hadoop
Data Transformation
Data Management
Scripting
ETL
Data Integration
Unix
Information Technology
SQL
Technical Leadership
Encryption
Tender Preparation
Databases