Data Engineer (Databricks)

PERCEPT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Percept Solutions is expanding and actively seeking a Data Engineer to design, build, and support reliable data ingestion and transformation pipelines on AWS and Databricks. The role will work with architects, engineers, QA, and business teams to deliver data pipelines, curated datasets, data-quality controls, and production-ready operational processes.

The position emphasizes batch and streaming pipelines, Bronze-Silver-Gold data architecture with strong logging, monitoring, and CI/CD.

Qualifications

• 3+ years of experience in data engineering or enterprise data-platform delivery.
• Hands-on experience with Databricks, Apache Spark, PySpark, and SQL.
• Experience with Delta Lake and layered data architecture such as Bronze/Silver/Gold.
• Experience building production data pipelines with proper logging, error handling, and recovery.
• Experience with AWS services such as S3, IAM, Glue, Lambda, Kinesis, or related services.
• Good understanding of data modelling, data quality, and performance optimisation.

Responsibilities

• Design and build batch and/or streaming data pipelines using Databricks and AWS services.
• Develop data processing across Bronze, Silver, and Gold layers using SQL, Python/PySpark, and Delta Lake.
• Implement ingestion from APIs, files, databases, object storage, or other enterprise data sources.
• Develop data transformations, dimensional or curated datasets, and reusable data-engineering components.
• Implement data validation, reconciliation, error handling, logging, rerun/recovery, and monitoring.
• Optimise Spark jobs, clusters, partitioning, and storage for performance and cost.
• Support CI/CD, environment promotion, SIT/UAT, production deployment, documentation, and operational handover.
• Collaborate with platform, application, BI, and data-governance teams.

Skills

Databricks

Apache Spark

PySpark

SQL

Delta Lake

AWS S3

Data modelling

Data quality

Performance optimisation

Tools

Databricks Workflows

Delta Live Tables

Unity Catalog

Auto Loader

Structured Streaming

Job description

We are looking for a Data Engineer to design, build, and support reliable data ingestion and transformation pipelines on AWS and Databricks. The role will work with architects, engineers, QA, and business teams to deliver data pipelines, curated datasets, data-quality controls, and production-ready operational processes.

Key Responsibilities

• Design and build batch and/or streaming data pipelines using Databricks and AWS services.
• Develop data processing across Bronze, Silver, and Gold layers using SQL, Python/PySpark, and Delta Lake.
• Implement ingestion from APIs, files, databases, object storage, or other enterprise data sources.
• Develop data transformations, dimensional or curated datasets, and reusable data-engineering components.
• Implement data validation, reconciliation, error handling, logging, rerun/recovery, and monitoring.
• Optimise Spark jobs, clusters, partitioning, and storage for performance and cost.
• Support CI/CD, environment promotion, SIT/UAT, production deployment, documentation, and operational handover.
• Collaborate with platform, application, BI, and data-governance teams.

Requirements (Must-Have)

• 3+ years of experience in data engineering or enterprise data-platform delivery.
• Hands-on experience with Databricks, Apache Spark, PySpark, and SQL.
• Experience with Delta Lake and layered data architecture such as Bronze/Silver/Gold.
• Experience building production data pipelines with proper logging, error handling, and recovery.
• Experience with AWS services such as S3, IAM, Glue, Lambda, Kinesis, or related services.
• Good understanding of data modelling, data quality, and performance optimisation.

Plus Points (Advantage)

• Databricks Workflows, Delta Live Tables, Unity Catalog, Auto Loader, or Structured Streaming.
• Experience with APIs, XML/JSON, event or near-real-time ingestion.
• CI/CD and infrastructure/configuration automation using Git-based tools.
• Experience with Tableau, BI datasets, or data warehouse integration.
• Databricks, AWS, data engineering, AI/ML, or GenAI-related certification(s).

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/ to stay informed about new opportunities and events.