Databricks Data Engineer: Spark, Delta Lake & ETL

ESPIRE INFOLABS (SINGAPORE) PTE. LTD.

Singapore

On-site

SGD 90,000 - 130,000

Full time

5 days ago

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Job summary

ESPIRE INFOLABS (SINGAPORE) PTE. LTD. is seeking a hands-on Databricks/Data Engineer to design, develop and maintain scalable data pipelines on the Databricks Lakehouse Platform.

You will leverage Spark, PySpark, Python, SQL and Delta Lake to deliver reliable, high-performance data solutions. The role involves working with Azure, AWS or GCP data services, building batch and near-real-time processing, ensuring data quality and governance, and collaborating with architects, data scientists and BI

Qualifications

3–5 years of experience in data engineering.
Hands-on Databricks expertise.
Strong Spark/PySpark, Python, and SQL skills.
Experience with Delta Lake and cloud data platforms.

Responsibilities

Design, develop, and maintain scalable data pipelines.
Build ETL/ELT pipelines using PySpark, Python, and SQL.
Create and manage Delta Lake tables and workflows.
Work with Databricks Lakehouse architecture and components.
Ingest and transform data from databases, APIs, files.
Implement data cleansing, validation, and quality checks.
Optimize Spark jobs for performance and cost.
Collaborate with data architects, data scientists, BI teams.

Skills

Databricks

Apache Spark

PySpark

Python

SQL

Delta Lake

ETL/ELT

Azure

Data Warehousing

Data Modelling

Git

CI/CD

Tools

Azure Data Factory

Terraform

Databricks Workflows

Unity Catalog

Power BI

Job description

ESPIRE INFOLABS (SINGAPORE) PTE. LTD. is seeking a hands-on Databricks/Data Engineer to design, develop and maintain scalable data pipelines on the Databricks Lakehouse Platform.

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