Responsibilities:

Design and build data pipelines and data warehouse layers in Snowflake (e.g., RAW/ODS/DW schemas, tables, views).
Implement ingestion and orchestration using Snowflake features such as Stages/Storage Integrations, Snowpipe, Tasks/Streams, Stored Procedures (or equivalent agreed patterns).
Develop and maintain dimensional models (facts/dimensions), including transformations, aggregates, and performance optimisation.
Implement data quality checks, reconciliation, and validation to ensure correctness and consistency.
Build operational readiness: error handling, rerun/recovery patterns, monitoring support, and clear runbooks/documentation.

Requirement:

Diploma / Degree in Computer Science / Computer Engineering / Information Technology related field, or relevant coding certifications
5+ years of experience in data engineering / enterprise data warehousing delivery.
Strong SQL skills (complex joins, window functions, performance tuning).
Hands-on experience building on Snowflake (or strong cloud DW experience with solid ability to ramp up on Snowflake quickly).
Good understanding of dimensional modelling (fact/dimension design).
Experience with cloud data integration patterns (e.g., S3 or similar object storage) and production pipeline practices (logging, retries, operational support) Plus Points (Advantage)
Oracle DW / legacy warehouse migration experience.

Interested applicants, Please send your updated resume in Word format to [email protected]

Please indicate Job Code "Senior Data Engineer - 101" on email subject

We regret that only shortlisted candidates will be notified.

Bacalso John Bryan Bedayo (Reg No. R1106648)

IT Consultancy & Services Pte Ltd

EA No: 92C5311

Please visit www.itcspl.com to learn more information about ITC

Senior Data Engineer (Ref 101)