About the Role
SymuFolk is looking for an Associate Data Engineer to support the development, optimization, and maintenance of scalable data solutions. The ideal candidate will work on building data pipelines, processing large datasets, and collaborating with cross-functional teams to deliver reliable data platforms.
Key Responsibilities
- • Build and maintain ETL/ELT data pipelines using Python, SQL, and Spark/PySpark.
- • Ingest, transform, and process data from multiple sources including APIs, databases, and cloud storage
- • Work with data warehouses and Lakehouse systems such as Databricks, Snowflake, and Redshift.
- • Ensure data quality, accuracy, and pipeline reliability through monitoring, testing, and debugging.
- • Optimize queries and data workflows for improved performance and cost efficiency.
- • Collaborate with data analysts, data scientists, and engineering teams to support business requirements.
- • Document data pipelines, processes, and follow coding best practices using Git/version control.
Requirements
- 1–2 years of industry experience in Data Engineering or related field.
- • Strong understanding of Python and SQL.
- • Basic hands-on experience with Spark/PySpark.
- • Knowledge of ETL/ELT concepts and data pipeline development.
- • Understanding of databases and data warehouse concepts.
- • Experience with cloud platforms (any of AWS/Azure/GCP).
Job Overview
Salary
PKR 100,000 - 150,000 / month
Work Mode
onsite
Experience
junior