# Data Engineer

**Company:** [Unison Group](http://jobs.workable.com/companies/deKpPhPMtQZga7XoPG1tSo.md)
**Location:** Singapore, Singapore
**Workplace:** on site
**Employment type:** Full-time
**Department:** Kapil

[Apply for this job](http://jobs.workable.com/view/61335dce-8e32-4bf4-ab37-8899d541c127)

## Description

We are looking for a skilled Junior & Senior **Data Engineers** with strong expertise in **Python, PySpark, and SQL** to design, develop, and optimize scalable ETL/data transformation pipelines. The ideal candidate should have hands-on experience working with large datasets, building efficient data workflows, and supporting data integration and analytics initiatives.

### Key Responsibilities

-   Design, develop, and maintain scalable **ETL/data transformation pipelines** using **Python, PySpark, and SQL**.
-   Extract, transform, and load data from multiple structured and unstructured data sources.
-   Develop and optimize PySpark jobs for processing large-scale datasets.
-   Write efficient and complex SQL queries, stored procedures, and performance-tuned transformations.
-   Perform data cleansing, validation, and quality checks to ensure data accuracy and consistency.
-   Optimize data pipelines for performance, scalability, and reliability.
-   Collaborate with Data Architects, Data Analysts, and Business teams to understand data requirements.
-   Troubleshoot production issues and provide timely resolutions.
-   Maintain technical documentation and follow coding standards and best practices.
-   Participate in code reviews and continuous improvement initiatives.

## Requirements

-   2–14 years of experience in Data Engineering or ETL development.
-   Strong hands-on experience in **Python**.
-   Strong expertise in **PySpark** for distributed data processing.
-   Advanced SQL skills, including query optimization and complex joins.
-   Experience in developing and maintaining ETL/data transformation pipelines.
-   Good understanding of data modeling and data warehousing concepts.
-   Experience handling large datasets and improving pipeline performance.
-   Familiarity with Git or other version control systems.
-   Strong analytical, debugging, and problem-solving skills.

### Preferred Skills

-   Experience with cloud platforms such as **AWS, Azure, or GCP**.
-   Knowledge of **Apache Spark**, Databricks, or Hadoop ecosystem.
-   Experience with workflow orchestration tools such as **Apache Airflow**.
-   Exposure to CI/CD pipelines and DevOps practices.