Cloud Data Engineer – GCP Migration & Transformation Specialist

Tech Aalto Pte ltd

Singapore

On-site

SGD 120,000 - 180,000

Full time

8 days ago
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Job summary

Tech Aalto Pte ltd is seeking a Cloud Data Engineer with 8+ years of GCP experience to lead migration and transformation initiatives. You will design scalable data pipelines on BigQuery, migrate on‑prem data models from Teradata and Cloudera, and implement ELT patterns to optimize performance and governance.

The role involves collaborating with analytics teams, migrating Control-M workflows to Cloud Composer, and ensuring data type compatibility with BI tools such as QlikSense.

Qualifications

  • 8+ years of experience with recent GCP projects.
  • Experience designing scalable data pipelines on GCP.
  • Experience migrating data models and ETL pipelines from on‑prem to BigQuery.

Responsibilities

  • Design and implement scalable data pipelines using GCP BigQuery and Cloud Composer, following Medallion architecture principles.
  • Lead data model and data migrations from on-premise platforms like Teradata and Cloudera to BigQuery, ensuring accuracy and performance.
  • Develop BigQuery SQL-based transformations and ELT patterns (e.g., partitioning, staging layer design).
  • Map Informatica workflows and Teradata BTEQ scripts to BigQuery SQL-based ELT solutions.
  • Migrate Control-M workflows to GCP Cloud Composer for orchestration.
  • Design modular and reusable BigQuery pipeline patterns across use cases.
  • Collaborate with reporting teams to build dashboards and reports, ensuring BigQuery data type compatibility with QlikSense.
  • Troubleshoot data pipeline issues for timely resolution and optimal performance.
  • Experience with data governance, data quality checks, and performance tuning in BigQuery.
  • Exposure to CI/CD practices and IaC for pipeline deployments.

Skills

GCP BigQuery
Cloud Composer
Medallion architecture
Data migrations
Teradata
Cloudera
BigQuery SQL
ELT patterns
Informatica workflows
Teradata BTEQ
Control-M workflows
QlikSense
Data governance
Data quality checks
Performance tuning
CI/CD
Infrastructure as code

Tools

BigQuery
Cloud Composer
Informatica
Teradata
Cloudera
BTEQ
QlikSense
Control-M

Job description

Cloud Data Engineer – GCP Migration & Transformation Specialist

Experience Level:8+ years (with recent GCP project experience)

  • Design and implement scalable data pipelines usingGCP BigQueryandCloud Composer, followingMedallion architectureprinciples.
  • Leaddata model and data migrationsfrom on-premise platforms likeTeradataandClouderatoBigQuery, ensuring accuracy and performance.
  • DevelopBigQuery SQL-based transformationsand standardELT conversion patterns(e.g., pushdown optimization, partitioning strategies, staging layer design).
  • Map legacyInformatica workflowsandTeradata BTEQ scriptstoBigQuery SQL-based ELT solutions.
  • MigrateControl-M workflowstoGCP Cloud Composer, ensuring orchestration compatibility and performance.
  • Designmodular and reusable BigQuery pipeline patternsapplicable across multiple use cases.
  • Collaborate with reporting teams to build dashboards and reports, ensuringBigQuery data type compatibilitywith tools such asQlikSense.
  • Troubleshoot data pipeline issues, ensuring timely resolution and optimal system performance.
Job Role: Cloud Data Engineer – GCP Migration & Transformation Specialist
Experience Level:

8+ years (with recent GCP project experience)

Job Summary:

We are looking for a skilled Data Engineer with strong experience in Google Cloud Platform (GCP) and enterprise data migrations. The ideal candidate will have a deep understanding of the GCP data landscape, Medallion architecture, and hands-on experience in migrating data models and ETL pipelines from on-premise platforms such as Teradata and Cloudera to GCP BigQuery.

Key Responsibilities:
  • Design and implement scalable data pipelines usingGCP BigQueryandCloud Composer, followingMedallion architectureprinciples.
  • Leaddata model and data migrationsfrom on-premise platforms likeTeradataandClouderatoBigQuery, ensuring accuracy and performance.
  • DevelopBigQuery SQL-based transformationsand standardELT conversion patterns(e.g., pushdown optimization, partitioning strategies, staging layer design).
  • Map legacyInformatica workflowsandTeradata BTEQ scriptstoBigQuery SQL-based ELT solutions.
  • MigrateControl-M workflowstoGCP Cloud Composer, ensuring orchestration compatibility and performance.
  • Designmodular and reusable BigQuery pipeline patternsapplicable across multiple use cases.
  • Collaborate with reporting teams to build dashboards and reports, ensuringBigQuery data type compatibilitywith tools such asQlikSense.
  • Troubleshoot data pipeline issues, ensuring timely resolution and optimal system performance.
Required Skills & Experience:
  • Strong working knowledge ofGCP services, includingBigQuery,Cloud Composer, and the overallGCP data ecosystem.
  • Experience with in a cloud-based data platform.
  • Hands-on experience withdata migration and transformation projectsfromTeradata,Cloudera, or similar on-premise systems toGCP.
  • Proficiency inBigQuery SQLfor advanced data transformation tasks.
  • Familiarity with standard data engineering patterns such aspartitioning,staging,modularity, andpipeline reusability.
  • Experience in converting legacyInformaticaandBTEQworkflows to cloud-native solutions.
  • Experience withQlikSenseor similar BI tools, including handling data type compatibility with BigQuery.
  • Strongdebugging and issue resolution skillsin a cloud-based data environment.
  • Experience withdata governance,data quality checks, andperformance tuningin BigQuery.
  • Exposure toCI/CD practicesandinfrastructure as code(IaC) for pipeline deployments.
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