Job Description
Data Engineer – AI
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0–3 Years Experience | Freshers Welcome
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Location: Atlanta, GA, United States
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Workplace Type: On-site
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Employment Type: Full-time
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Seniority Level: Entry Level
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Job Summary
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We are seeking a motivated Data Engineer – AI to join our technology team. This role is ideal for fresh graduates and professionals with 0–3 years of experience who are interested in building data infrastructure and supporting Artificial Intelligence applications.
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The candidate will work on data pipelines, data processing, data transformation, and AI-ready datasets while collaborating with data and technology teams.
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Key Responsibilities
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- Design, develop, and maintain scalable data pipelines for AI applications.
- Collect, clean, transform, and process large datasets.
- Develop ETL/ELT pipelines for structured and unstructured data.
- Build and maintain data warehouses and data models.
- Prepare high-quality datasets for AI and machine learning applications.
- Support data ingestion from multiple sources.
- Develop efficient SQL queries for data extraction and transformation.
- Work with Python for data processing and automation.
- Monitor data pipelines and troubleshoot data quality issues.
- Assist in developing data infrastructure for AI applications.
- Collaborate with AI/ML engineers and data scientists.
- Document data pipelines, workflows, and technical processes.
- Support data quality, governance, and security requirements.
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Required Qualifications
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- Bachelor's or Master's degree in:
- Computer Science
- Data Engineering
- Data Science
- Artificial Intelligence
- Information Technology
- Information Systems
- Computer Engineering
- or a related technical field.
- 0–3 years of experience.
- Fresh graduates are welcome to apply.
- Understanding of databases, programming, and data engineering fundamentals.
- Strong analytical and problem-solving skills.
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Required Skills
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- Python
- SQL
- Data Engineering
- ETL / ELT
- Data Pipelines
- Data Processing
- Data Warehousing
- Data Modeling
- Artificial Intelligence
- Machine Learning Fundamentals
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Preferred Skills
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- Apache Spark
- PySpark
- Databricks
- Snowflake
- Apache Airflow
- AWS
- Azure
- Google Cloud Platform
- Kafka
- Pandas
- NumPy
- Generative AI
- Large Language Models (LLMs)
- AI Data Pipelines
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Education
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Bachelor's or Master's Degree in Computer Science, Data Engineering, Data Science, Artificial Intelligence, Information Technology, Information Systems, Computer Engineering, or a related technical field.
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Experience
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0–3 Years
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Freshers / Recent Graduates Welcome