全职 Data Architect 工作, 薪水, Net2Source Inc. Selangor 公司招聘中 - Ricebowl

Role- Data Architect

Role Type- Permanent

Budget- 20K/MYR Monthly

Must- Malaysian

Location- Cyberjaya

Skills-Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Spark, Delta Lake, Delta Live Tables

Job Description-

• 12+ years of experience in data engineering using Databricks or Apache Spark-based platforms.
• Proven track record of building and optimizing ETL/ELT pipelines for batch and streaming data ingestion.
• Hands-on experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, or Azure SQL Data Warehouse.
• Proficiency in programming languages such as Python, Scala, or SQL for data processing and transformation.
• Expertise in Spark (PySpark, Spark SQL, or Scala) and Databricks notebooks for large-scale data processing.
• Familiarity with Delta Lake, Delta Live Tables, and medallion architecture for data lakehouse implementations.
• Build and query deltalake storage solutions
• Process streaming data with Azure Databricks structured streaming
• Design Azure Databricks security and data protection solutions
• Flatten nested structures and explode arrays with spark
• Transfer data outside using sparkpools using pyspark connector
• Optimizing spark jobs
• Implementing best practices in spark/databricks
• Experience with orchestration tools like Azure Data Factory or Databricks Jobs for scheduling and automation.
• Knowledge of Git for source control and CI/CD integration for Databricks workflows, cost optimization, performance tuning.
• Familiarity with Unity Catalog, RBAC, or enterprise-level Databricks setups.
• Ability to create reusable components, templates, and documentation to standardize data engineering workflows.
• Solutioning and presales - Architecting frameworks, defining roadmaps, and engaging with stakeholders.
• Experience in defining data strategy, evaluating new tools/technologies, and driving adoption across the organization.
• Experience with Snowflake and/or Microsoft Fabric is an added advantage.
• Must have experience of working with streaming data sources and Kafka (preferred).