Data Engineer – Cloud & Big Data Platforms - Bukit Merah

apartmentKRYJAS PRIVATE LIMITED placeBukit Merah calendar_month15/8/25

Key Responsibilities

Architect and implement scalable ETL/ELT data pipelines across cloud and hybrid environments using Azure Data Factory, Databricks, PySpark, and Kafka
Build and maintain data lakes and lakehouse architectures aligned with enterprise security and governance requirements
Ensure secure data processing using tools like Apache Ranger, Protegrity, and Collibra
Support federated querying and metadata management through Trino, Starburst, and EDC tools
Lead CI/CD automation for data workflows using Azure DevOps, Git, and related DevOps practices
Act as SME for L2/L3 support, performance tuning, and audit readiness in production environments
Collaborate with analytics, ML, and compliance teams to deliver ML-ready, governed datasets

Requirements

Minimum 8 years of relevant experience in data engineering
At least 5 years working with data platforms in banking/regulated environments
Deep technical expertise with:

Azure Data Factory, Databricks, Apache Spark (Batch & Stream)
Kafka, PySpark, AWS S3, Cloudera, and Azure Synapse
Data security/governance tools: Apache Ranger, Collibra, Protegrity
DevOps and orchestration: Azure DevOps, Airflow, Control-M

Programming & querying: Python, SQL, Trino/Presto

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