T&T Senior Consultant - Engineering - Data Engineer - SG

re-zoo-me

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

At Deloitte in Singapore, a Senior Data Engineer role focuses on designing and deploying data tables, pipelines, and APIs to support data-driven products. You will integrate siloed data across warehouses and lakes, employing batch and real-time processing in a collaborative, Agile environment.

Candidates bring 7+ years in data engineering, strong SQL/Python skills, and experience with Spark, Kafka, Hadoop, and various cloud platforms.

Qualifications

  • 7+ years of experience as a Data Engineer.
  • Strong experience in data transformation, ETL/ELT development, and production-grade data pipeline implementation.
  • Proficient in SQL and Python, with hands-on experience in data engineering frameworks and tools.
  • Solid understanding of database design and experience with relational and NoSQL databases.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with big data technologies (e.g., Spark, Kafka, Hadoop) and modern data architectures.
  • Knowledge of data modelling, Data Lakes, Data Warehouses, and related data storage solutions.
  • Experience with APIs, web services, and data integration.
  • Understanding of data governance, security, and access control best practices.
  • Good knowledge of system design, data structures, and algorithms.
  • Comfortable working in Linux and Windows environments.
  • Passionate about transforming data into business value and bridging engineering with analytics.

Responsibilities

  • Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
  • Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
  • Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
  • Integrate and collate data silos in a manner which is both scalable and compliant.
  • Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
  • Be responsible for developing backend APIs & working on databases to support the applications.
  • Work in an Agile Environment that practices Continuous Integration and Delivery.
  • Work closely with fellow developers through pair programming and code review process.

Skills

SQL
Python
ETL/ELT
Data pipelines
Cloud platforms
Big data
APIs

Tools

Spark
Kafka
Hadoop
Relational DBs
NoSQL DBs

Job description

Service Line / Portfolios: Engineering, AI & Data

Location: Singapore, Singapore, SG

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals. We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognised for their contributions.

Work you’ll do
  • Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
  • Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
  • Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
  • Integrate and collate data silos in a manner which is both scalable and compliant.
  • Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
  • Be responsible for developing backend APIs & working on databases to support the applications.
  • Work in an Agile Environment that practices Continuous Integration and Delivery.
  • Work closely with fellow developers through pair programming and code review process.
Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultant across our Firm are expected to:

  • Demonstrate a strong commitment to personal learning and development.
  • Understand how our daily work contributes to the priorities of the team and business.
  • Understand the set expectations and demonstrate accountability in keeping personal performance on track.
  • Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
  • Demonstrate an appreciation for working with others.
  • Understand what is fundamental to Deloitte’s success as a business.
  • Demonstrate integrity and an awareness of strengths, differences, and personal impact.
  • Develop their understanding of Deloitte and offer a fresh perspective.
Requirements
  • Min of 7+ years of experience as a Data Engineer.
  • Strong experience in data transformation, ETL/ELT development, and production-grade data pipeline implementation.
  • Proficient in SQL and Python, with hands-on experience in data engineering frameworks and tools.
  • Solid understanding of database design and experience with relational and NoSQL databases.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with big data technologies (e.g., Spark, Kafka, Hadoop) and modern data architectures.
  • Knowledge of data modelling, Data Lakes, Data Warehouses, and related data storage solutions.
  • Experience working with APIs, web services, and data integration.
  • Understanding of data governance, security, and access control best practices.
  • Good knowledge of system design, data structures, and algorithms.
  • Comfortable working in Linux and Windows environments.
  • Passionate about transforming data into business value and bridging engineering with analytics.

Due to volume of applications, we regret that only shortlisted candidates will be notified.

In Singapore, the services are provided by Deloitte and other related entities in Singapore("Deloitte in Singapore"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Singapore, which is within the Deloitte Network, is the entity that is providing this Website.

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