Senior Data Engineer
6000 - 7000 SGDNCS PTE. LTD.
"Data Pipeline Development &Operations
• Design, build, and operate scalable and reliable data pipelines on theDatabricks platform
• Develop end-to-end data workflows from ingestion through transformation toconsumption
• Implement robust error handling, monitoring, and alerting mechanisms
• Ensure data pipeline reliability, performance, and maintainability
• Optimize pipeline performance through efficient Spark job design and clusterconfiguration
• Manage and orchestrate complex data workflows using Databricks Jobs andworkflows
Legacy Code Modernization
• Refactor legacy code and data pipelines to PySpark for improved performanceand scalability
• Migrate traditional ETL processes to modern ELT patterns on Databricks
• Assess existing codebases and identify opportunities for optimization andmodernization
• Ensure backward compatibility and data integrity during migration processes
• Document refactoring approaches and create migration playbooks
• Collaborate with stakeholders to minimize disruption during code transitions
Data Engineering Excellence
• Implement data quality checks and validation frameworks
• Design and maintain Delta Lake tables with appropriate optimizationstrategies
• Develop reusable code libraries and frameworks for common data engineeringtasks
• Follow software engineering best practices including version control,testing, and CI/CD
• Participate in code reviews and provide constructive feedback to teammembers
• Troubleshoot and resolve data pipeline issues in production environments
Collaboration & Knowledge Sharing
• Work closely with data architects, analysts, and business stakeholders
• Collaborate with Infrastructure (Infra), Applications (Apps), and Cyberteams
• Share knowledge and best practices with Team NCS
• Mentor junior data engineers on PySpark and Databricks technologies
• Document technical solutions and maintain comprehensive documentation" "EssentialTechnical Skills
• Data Engineering: Strong foundation in data engineering principles, ETL/ELTprocesses, and data pipeline design patterns
• PySpark: Proven hands-on experience developing data pipelines using PySpark,including DataFrames API, Spark SQL, and performance optimization
• Databricks Platform: Practical experience with Databricks workspace, clustermanagement, notebooks, and job orchestration
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilitiesand integration
• Data Modelling: Experience implementing data models including dimensionalmodeling, data vault, or lakehouse architectures
• Delta Lake: Understanding of Delta Lake features including ACIDtransactions, schema evolution, and optimization techniques
• Python: Strong Python programming skills for data processing and automation
Additional Technical Skills
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Understanding of data governance and security best practices
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Understanding of data quality frameworks and testing methodologies
Professional Experience
• Minimum 8 years in data engineering or related roles
• At least 2-3 years of hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
Required Certifications - mandatory to haveat least one certification
• Databricks Certified Data Engineer Associate OR Databricks Certified DataEngineer Professional
Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS CertifiedData Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications
Soft Skills
• Strong problem-solving and analytical thinking abilities
• Excellent communication skills to explain technical concepts clearly
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong attention to detail
• Adaptable to changing priorities and technologies
• Client-focused mindset with commitment to quality delivery"
"Minimum 8 years and above ofexperience.
7000 - 7400 SGD
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