Data Engineer

3-5 Years

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Early Applicant

Job Description

JOB DESCRIPTION

Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
Clean, transform, and standardize data from multiple internal and external sources.
Integrate data from enterprise systems including ERP, MES, and factory systems.
Build automation scripts and schedule data workflows to ensure reliable data delivery.
Work with big data technologies such as Spark, Hadoop, or equivalent frameworks.
Manage cloud-based storage, data lakes, and overall data architecture.
Ensure data quality, accuracy, scalability, and security across all data pipelines.

REQUIREMENTS

Bachelor's degree in Computer Science, Information Systems, or a related field.
Minimum 3 years of experience in Data Engineering or similar roles.
Strong proficiency in SQL and Python.
Solid experience in designing and maintaining ETL pipelines and data transformation processes.
Hands-on experience with Spark, Hadoop, or other big data frameworks.
Experience integrating data from enterprise systems (ERP/MES).
Knowledge of cloud storage solutions and data lake architecture.
Ability to develop automation scripts and manage data scheduling workflows.