Data Engineer

Avensys Consulting; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Fun environment

Career progression

Job summary

Avensys Consulting Pte Ltd in Singapore seeks a highly skilled Data Engineer with 6–10 years of experience to lead production data pipelines on AWS and Databricks. You will design lakehouse architectures, implement CDC, data quality checks and scalable batch/streaming processes, using PySpark, SQL, Python, and Delta Lake.

Strong leadership and mentoring abilities are valued. Join a global IT services firm offering a competitive base salary, attractive benefits, and a collaborative,

Qualifications

• Educational & professional background in data/ software engineering as described in the ad.
• Extensive hands-on experience with production data pipelines on cloud platforms.

Skills

Python

PySpark

SQL

Databricks

Apache Spark

Delta Lake

AWS data engineering

S3

Glue

Lake Formation

IAM

KMS

Lambda

Step Functions

EventBridge

CloudWatch

Redshift

MSK

Kinesis

Lakehouse design

Data modeling

Incremental ingestion

Change data capture

Data quality

Schema validation

Metadata lineage

CI/CD

Terraform

Observability

Incident management

Cloud security

Code review

Mentoring

Architecture design

Git

Infrastructure as code

Education

Degree in Computer Science

Software Engineering

Data Engineering

Information Systems

Tools

Databricks Unity Catalog

Lakeflow

Delta Live Tables

Auto Loader

Structured Streaming

Databricks Asset Bundles

Airflow

dbt

Kafka

Amazon MSK/Kinesis

AWS DMS

Job description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire highly skilled Data Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Requirements & Qualifications

• Educational Qualification & Experience
• Education: Degree in Computer Science, Software Engineering, Data Engineering, Information Systems or a related
• technical discipline.
• Experience: Typically 6–10 years of relevant data or software engineering experience, including hands-on design and
• operation of production data pipelines and at least 2 years working with cloud-based data platforms. Candidates
• should demonstrate technical leadership through architecture, engineering standards, code review, mentoring or
• ownership of critical data services.
• B. Technical & Professional Competencies
• Strong Python, PySpark and SQL capability, including distributed processing, complex transformations, query
• optimisation, debugging and automated testing.
• Hands-on experience with Databricks, Apache Spark and Delta Lake for production-scale batch or streaming
• Hands-on AWS data engineering experience with a relevant mix of S3, Glue, Lake Formation, IAM, KMS, Lambda,
• Step Functions, EventBridge, CloudWatch, Redshift and MSK/Kinesis.
• Experience designing lakehouse or data-lake architectures, including layered data patterns, dimensional or
• domain data modelling and reusable curated datasets.
• Experience implementing incremental ingestion, change data capture, idempotency, late-arriving data handling,
• backfills, replay and recovery.
• Experience implementing data quality, schema validation, reconciliation, metadata and lineage as automated
• parts of production pipelines.
• Experience with workflow orchestration, Git-based development, CI/CD, infrastructure as code such as
• Terraform, and environment promotion controls.
• Ability to implement pipeline observability, operational dashboards, alerting, runbooks, incident diagnosis and
• service recovery.
• Working knowledge of cloud security, least-privilege access, network boundaries, encryption, secret
• management, data classification and audit logging.
• Ability to review technical designs and code, establish engineering standards, and guide less-experienced engineers.

Preferred (Advantageous)

• Experience with Databricks Unity Catalog, Lakeflow or Delta Live Tables, Auto Loader, Structured Streaming,
• Delta Sharing and Databricks Asset Bundles.
• Experience with Apache Airflow, dbt, Kafka, Amazon MSK/Kinesis, AWS DMS or equivalent ingestion and
• orchestration technologies.
• Experience supporting feature engineering, ML training datasets, feature stores or MLOps pipelines on
• Databricks and AWS.
• Experience in Singapore public-sector environments, including IM8-aligned controls, data classification, VAPT,
• system assurance or governed cross-agency data sharing.
• Relevant certifications such as Databricks Certified Data Engineer Professional, AWS Certified Data Engineer –
• Associate or AWS Certified Solutions Architect – Associate/Professional

WHAT’S ON OFFER:

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

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