Senior Data Engineer

Hanoi - Vietnam

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

A bit about the team and what youll deliver...

Were looking for a Senior Data Engineer to architect and maintain cutting-edge data systems that power analytics AI and operational this role youll take ownership of end-to-end data lifecycles designing pipelines models and architectures that support real-time insights and machine learning at scale.

As a Senior Data Engineer you will:

Design Scalable Data Architecture: Build modern cloud-native data platforms (AWS Snowflake Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows optimise data models and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion storage processing and delivery of structured and unstructured data.
Performance & Cost Optimisation: Continuously tune infrastructure for high concurrency low latency and cost efficiency.
Real-Time Integration & Analytics: Ingest telemetry API and application data in real time to power dashboards and AI-driven tools.
ML & AI Enablement: Provision datasets for ML/AI workloads integrating with SageMaker Snowflake ML and MLOps best practices.
Data Governance & Security: Ensure robust data governance compliance (GDPR SOC 2) and enterprise-grade security.
Collaboration & Strategy: Work closely with Product Engineering DevOps and Analytics teams to align data solutions with business goals.

What were looking for...

Experience: significant experience in technology roles with 5 years in data engineering on real-time scalable cloud platforms (AWS & Snowflake preferred). Experience in SaaS/product companies managing large-scale IoT telemetry or digital datasets is highly desirable.
Technical Expertise:
- AWS (S3 Glue Lambda Athena Kinesis) Snowflake (data pipelines schema design query optimization)
- Data modeling ETL/ELT real-time streaming (Kafka Kinesis)
- Big data processing (Spark Airflow) SQL Python Java/Scala
- BI & analytics platforms (Tableau Looker)
- ML/AI integration (SageMaker TensorFlow Snowflake ML feature stores)
- Data governance security and compliance frameworks
Attributes: Strong communicator collaborative analytical and strategic. Ability to balance multiple projects while driving innovation and operational excellence.

Qualifications :

Bachelors degree in Computer Science Software Engineering Data Engineering or related field (Masters preferred)
Relevant certifications (AWS Certified Data Analytics Solutions Architect SnowPro Core)

Additional Information :

What we can provide you in return for your investment...

Competitive compensation

A base salary that reflects your expertise and impact.
Bonus scheme to share in our success.

Flexibility & work-life balance

Remote working arrangements to support your lifestyle.
An open holiday policy with no upper limittake the time you need when you need it.
Support for volunteering and causes that matter to you.

Growth & development

Opportunities for professional development and career progression.
Exposure and interaction with global teams.

Inclusive supportive culture

A commitment to diversity equity and inclusion.
A collaborative environment where your voice is valued and your wellbeing is prioritised.

Impact & purpose

The chance to work on technology that drives global economic inclusion and makes a real difference in peoples lives.

#LI-Remote

Trustonic is an equal opportunity employer. We do not discriminate on any grounds. We empower engage enable and value differences between people including; different races ethnicities genders ages religions disabilities and sexual orientations with differences in education backgrounds skill sets experiences and knowledge.

Remote Work :

Yes

Employment Type :

Full-time

A bit about the team and what youll deliver...Were looking for a Senior Data Engineer to architect and maintain cutting-edge data systems that power analytics AI and operational this role youll take ownership of end-to-end data lifecycles designing pipelines models and architectures that support re...

A bit about the team and what youll deliver...

As a Senior Data Engineer you will:

Design Scalable Data Architecture: Build modern cloud-native data platforms (AWS Snowflake Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows optimise data models and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion storage processing and delivery of structured and unstructured data.
Performance & Cost Optimisation: Continuously tune infrastructure for high concurrency low latency and cost efficiency.
Real-Time Integration & Analytics: Ingest telemetry API and application data in real time to power dashboards and AI-driven tools.
ML & AI Enablement: Provision datasets for ML/AI workloads integrating with SageMaker Snowflake ML and MLOps best practices.
Data Governance & Security: Ensure robust data governance compliance (GDPR SOC 2) and enterprise-grade security.
Collaboration & Strategy: Work closely with Product Engineering DevOps and Analytics teams to align data solutions with business goals.

What were looking for...

Experience: significant experience in technology roles with 5 years in data engineering on real-time scalable cloud platforms (AWS & Snowflake preferred). Experience in SaaS/product companies managing large-scale IoT telemetry or digital datasets is highly desirable.
Technical Expertise:
- AWS (S3 Glue Lambda Athena Kinesis) Snowflake (data pipelines schema design query optimization)
- Data modeling ETL/ELT real-time streaming (Kafka Kinesis)
- Big data processing (Spark Airflow) SQL Python Java/Scala
- BI & analytics platforms (Tableau Looker)
- ML/AI integration (SageMaker TensorFlow Snowflake ML feature stores)
- Data governance security and compliance frameworks
Attributes: Strong communicator collaborative analytical and strategic. Ability to balance multiple projects while driving innovation and operational excellence.

Qualifications :

Bachelors degree in Computer Science Software Engineering Data Engineering or related field (Masters preferred)
Relevant certifications (AWS Certified Data Analytics Solutions Architect SnowPro Core)

Additional Information :

What we can provide you in return for your investment...

Competitive compensation

A base salary that reflects your expertise and impact.
Bonus scheme to share in our success.

Flexibility & work-life balance

Remote working arrangements to support your lifestyle.
An open holiday policy with no upper limittake the time you need when you need it.
Support for volunteering and causes that matter to you.

Growth & development

Opportunities for professional development and career progression.
Exposure and interaction with global teams.

Inclusive supportive culture

A commitment to diversity equity and inclusion.
A collaborative environment where your voice is valued and your wellbeing is prioritised.

Impact & purpose

The chance to work on technology that drives global economic inclusion and makes a real difference in peoples lives.

#LI-Remote

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Trustonic

Who we are...At Trustonic our products are making a difference across the world. One moment we’re ensuring low-income families worldwide can access the life-changing benefits of an internet-enabled smartphone. The next we’re protecting the safety and integrity of the vehicles we drive ... View more

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