Data Engineer

2-5 Years

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Early Applicant

Job Description

Job Descriptions

Collaborate with AI/ML Engineers to design and maintain data pipelines (ETL/ELT) from ERP, IoT, and production systems.
Clean, transform, and structure data for machine learning and analytics.
Manage data storage, processing, and retrieval in Data Warehouse or Data Lake environments.
Conduct exploratory data analysis and statistical modeling to support AI initiatives.
Ensure data quality, integrity, and compliance with company standards.
Translate business requirements into data-driven solutions in collaboration with IT and business stakeholders.
Monitor and optimize data workflows for performance and scalability.
Document data processes and model workflows for maintainability.

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Minimum 2-3 years of hands-on experience in Data engineering, Data integration, or a similar data-focused role.
Strong proficiency in SQL and Python, with experience using data manipulation libraries such as Pandas and PySpark.
Proven experience in designing and implementing ETL/ELT pipelines and automating data workflows.
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP), including cloud-based data storage and processing tools.
Experience working with APIs, relational and NoSQL databases, and large-scale data processing systems.
Solid understanding of data modeling, schema design, and data governance best practices.
Strong analytical and problem-solving skills, with the ability to work both independently and in cross-functional teams.
Good English communication.