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Urgent! Data Engineering Expert Job Opening In Singapore, Singapore – Now Hiring 3 CUBED BUSINESS CONSULTING PTE. LTD.

Data Engineering Expert



Job description

1.

Data Engineering & Platform Knowledge (Must)

  • Strong understanding of Hadoop ecosystem: HDFS, Hive, Impala, Oozie, Sqoop, Spark (on YARN).

  • Experience in data migration strategies (lift & shift, incremental, re-engineering pipelines).

  • Knowledge of Databricks architecture (Workspaces, Unity Catalog, Clusters, Delta Lake, Workflows).

2.

Testing & Validation (Preferred)

  • Data reconciliation (source vs.

    target).

  • Performance benchmarking.

  • Automated test frameworks for ETL pipelines.

3.

Databricks-Specific Expertise (Preferred)

  • Delta Lake: ACID transactions, time travel, schema evolution, Z-ordering.

  • Unity Catalog: Catalog/schema/table design, access control, lineage, tags.

  • Workflows/Jobs: Orchestration, job clusters vs.

    all-purpose clusters.

  • SQL Endpoints / Databricks SQL: Designing downstream consumption models.

  • Performance Tuning: Partitioning, caching, adaptive query execution (AQE), photon runtime.

4.

Migration & Data Movement (Preferred)

  • Data migration from HDFS/Cloudera to cloud storage (ADLS/S3/GCS).

  • Incremental ingestion techniques (Change Data Capture, Delta ingestion frameworks).

  • Mapping Hive Metastore to Unity Catalog (metastore migration).

  • Refactoring HiveQL/Impala SQL to Databricks SQL (syntax differences).

5.

Security & Governance (Nice to have)

  • Mapping Cloudera Ranger/SSO policies Unity Catalog RBAC.

  • Azure AD / AWS IAM integration with Databricks.

  • Data encryption, masking, anonymization strategies.

  • Service Principal setup & governance.

6.

DevOps & Automation (Nice to have)

  • Infrastructure as Code (Terraform for Databricks, Cloud storage, Networking).

  • CI/CD for Databricks (GitHub Actions, Azure DevOps, Databricks Asset Bundles).

  • Cluster policies & job automation.

  • Monitoring & logging (Databricks system tables, cloud-native monitoring).

7.

Cloud & Infra Skills (Nice to have)

  • Strong knowledge of the target cloud (AWS/Azure/GCP):

o Storage (S3/ADLS/GCS).

o Networking (VNETs, Private Links, Security Groups).

o IAM & Key Management.

9.

Soft Skills

  • Ability to work with business stakeholders for data domain remapping.

  • Strong documentation and governance mindset.

  • Cross-team collaboration (infra, security, data, business).


Required Skill Profession

Other General



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