Data Engineering Expert

2 weeks ago


Singapore 3 CUBED BUSINESS CONSULTING PTE. LTD. Full time

**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):

- Storage (S3/ADLS/GCS).
- Networking (VNETs, Private Links, Security Groups).
- 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).



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