Senior Data Engineer: ETL, Pipelines & Cloud

re-zoo-me; Singapore; On-site; SGD 120,000 - 180,000; Full time

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

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.