Senior/ Data Engineer - DSC/EZ

ST Engineering; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology solutions provider in Singapore seeks a Data Engineer to design and maintain data systems. Responsibilities include working with stakeholders on data issues, managing data models, and ensuring data quality. Ideal candidates will have technical knowledge in data pipelines and experience with big data technologies. This role offers a chance to impact innovative projects in a dynamic environment.

Qualifications

• In-depth technical knowledge in data modeling and pipelines.
• Experience in big data technologies like Hadoop and Spark.
• Knowledge of data privacy and security assurance.

Responsibilities

• Design and maintain data flow channels and processing systems.
• Work with stakeholders on data-related technical issues.
• Develop and manage data models and ETL processes.

Skills

Data Modelling

Data Pipelines

OLAP

Data Ingestion & Integration technologies

Query Optimisation

Java

C/C++

Python

Scala

SQL

Hadoop

Spark

Hive

HBase

Job description

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

The Data Engineer supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner. The Data Engineer focuses on defining optimal solutions to data collection, processing and warehousing. He / She designs, codes and tests data systems and works on implementing those into the internal infrastructure.

Be Part of Our Success

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs;

• Work closely with data scientists to solicit data requirements to support modeling works

• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);

• Define, monitor and report SLAs for data pipelines and data products;

• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements;

• Drive/execute data quality assurance practices; and

• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Qualities We Value

• In-depth technical knowledge in:

• Data Modelling;

• Data Pipelines;

• OLAP;

• Data Ingestion & Integration techonlogies;

• Query Optimisation

• Technical expertise in:

• Java, C/C++, Python, Scala, SQL etc.

• Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.

• Experience in master data management, data governance, data lifecycle management etc.;

• Experience in designing, documenting, implementing and supporting data management solutions;

• Experience in using software engineering best practices in development, programming, testing, version control etc.;

• Knowledge of data privacy and security assurance;