Data Engineer

Espire Infolabs; United States; Remote; USD 70,000 - 109,000; Full time

Job summary

Espire infolabs is seeking a hands-on Data Engineer (Databricks) to design, build, and optimize scalable data pipelines on the Databricks Lakehouse platform. Location: Singapore.

You will collaborate with analysts, data scientists, and business teams to turn raw data into analytics-ready assets. The role requires strong PySpark, SQL, Python, and Delta Lake expertise, plus experience with cloud storage services and CI/CD practices.

Qualifications

• 3-5 years of hands-on data engineering experience.
• Strong PySpark skills (DataFrames, Spark SQL, UDFs, performance tuning).
• Proven experience building production pipelines on Databricks.
• Solid working knowledge of Delta Lake (ACID, time travel, merge/upsert, schema evolution).
• Advanced SQL and strong Python.
• Experience with a major cloud platform (Azure, AWS, or GCP) and its storage and data services.
• Understanding of data modelling (dimensional, lakehouse) and ETL/ELT patterns.
• Familiarity with Git and CI/CD practices.

Responsibilities

• Design, build, and optimize scalable data pipelines on the Databricks Lakehouse platform.
• Collaborate with analysts, data scientists, and business teams to deliver reliable, analytics-ready data assets.

Skills

PySpark

SQL

Python

Data modelling

ETL/ELT patterns

Tools

Databricks

Delta Lake

Git

CI/CD

Job description

Greetings from Espire infolabs !!

Role - Data Engineer (Databricks)

Location - Singapore

We're looking for a hands-on Data Engineer to design, build, and optimize scalable data pipelines on the Databricks Lakehouse platform. You'll work with analysts, data scientists, and business teams to turn raw data into reliable, analytics-ready assets.

Required Qualifications

• - 3-5 years of hands-on data engineering experience
• - Strong PySpark skills (DataFrames, Spark SQL, UDFs, performance tuning)
• - Proven experience building production pipelines on Databricks
• - Solid working knowledge of Delta Lake (ACID, time travel, merge/upsert, schema evolution)
• - Advanced SQL and strong Python
• - Experience with a major cloud platform (Azure, AWS, or GCP) and its storage and data services
• - Understanding of data modelling (dimensional, lakehouse) and ETL/ELT patterns
• - Familiarity with Git and CI/CD practices