Senior Data Engineer: Scale Data Pipelines & Insights

Deloitte SEA; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Deloitte SEA in Singapore seeks an experienced Data Engineer to design and optimize data pipelines across data warehouses, data lakes and data virtualization. You will collaborate with cross-functional teams to translate business requirements into scalable data solutions.

The role emphasizes hands-on development, cloud platforms, security and governance, with opportunities to influence large-scale analytics across the organization.

Qualifications

• 7 years of relevant working experience as a data engineer.
• Proficient in data cleaning & transformation (SQL, pandas, R) to ensure data accuracy and consistency.
• Proficient in building ETL pipelines (SSIS, AWS DMS, Python, AWS Lambda, ECS, AWS Glue).
• Proficient in database design and multiple databases (SQL, PostgreSQL, MongoDB, MySQL).
• Experience in cloud technologies such as AWS, Azure, Google Cloud.
• Experience in building production-grade data pipelines and ETL/ELT data integration.
• Knowledge of system design, data structures and algorithms.
• Familiar with data modelling, Data Lake/Warehouses and data governance policies.
• Familiar with rest APIs and web protocols; comfortable with web scraping.
• Familiar with big data tools (Hadoop, Spark, Kafka).
• Familiar with data governance and security best practices.
• Comfortable in SQL/Python scripting; Windows and Linux environments.

Responsibilities

• Design, develop and deploy data tables, views and marts in data warehouses, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow. Web scraping may be part of data extraction scope.
• Design, build, launch and maintain large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a scalable, compliant manner.
• Collaborate with Project Manager, Data Architect, Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs and working on databases to support applications.
• Work in an Agile environment with CI/CD and code review processes.
• Collaborate with fellow developers through pair programming.

Skills

Data cleaning

Data transformation

SQL

Python

R

ETL pipelines

Cloud platforms

Big data thinking

REST APIs

Data governance

Tools

SSIS

AWS DMS

AWS Lambda

ECS

AWS Glue

Spring

PostgreSQL

MongoDB

Athena

S3

Job description

Deloitte SEA in Singapore seeks an experienced Data Engineer to design and optimize data pipelines across data warehouses, data lakes and data virtualization. You will collaborate with cross-functional teams to translate business requirements into scalable data solutions.

The role emphasizes hands-on development, cloud platforms, security and governance, with opportunities to influence large-scale analytics across the organization.