# Data Engineer - (AI and Python)

**Company:** [Flatgigs](http://jobs.workable.com/companies/bh7RV78XZ4FSh2oNPXBBYa.md)
**Location:** Karachi, Pakistan
**Workplace:** on site
**Employment type:** Full-time
**Department:** Tech Team

[Apply for this job](http://jobs.workable.com/view/f4261701-6964-4374-9ac9-223ce6117aa4)

## Description

FlatGigs is seeking a skilled **Data Engineer (AI and Python)** to join our dynamic team. In this role, you will build and maintain robust data pipelines and infrastructure that power AI-driven applications and analytics. You will work closely with data scientists and AI engineers to support scalable machine learning workflows and drive data innovation.

### Key Responsibilities

-   Design, develop, and maintain scalable ETL pipelines using Python to handle large volumes of structured and unstructured data.
-   Collaborate with AI teams to develop data solutions that enable efficient model training, evaluation, and deployment.
-   Implement data ingestion, cleansing, and transformation processes to ensure high-quality datasets for AI workflows.
-   Optimize data workflows and storage solutions for performance and reliability.
-   Work with cloud platforms (AWS, Azure, or GCP) to deploy and monitor data pipelines and related infrastructure.
-   Maintain documentation and enforce data governance and compliance policies.
-   Participate in code reviews, testing, and continuous integration to deliver robust production-ready data solutions.

## Requirements

### Required Qualifications

-   Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
-   3+ years of professional experience in data engineering with a focus on AI and ML workflows.
-   Strong proficiency in Python programming and experience using libraries such as Pandas, NumPy, and Airflow.
-   Hands-on experience building and managing ETL/ELT pipelines.
-   Good understanding of cloud platforms (AWS, Azure, or GCP) and familiarity with deploying data infrastructure.
-   Experience with SQL and NoSQL databases.
-   Familiarity with container orchestration tools such as Docker and Kubernetes is a plus.

### Preferred Skills

-   Knowledge of AI/ML concepts and ability to collaborate effectively with data science teams.
-   Experience with distributed data processing frameworks like Apache Spark.
-   Understanding of data security, compliance, and best practices in data engineering.

## Benefits

Market Competitive Salary

Leaves

Health Insurance

Hybrid Work Model