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Data Engineer (AI & Python) - Join Our Innovative Team

FlatGigsKarachi, Sindh, Pakistan
Hybrid Full-time

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Experience Level

Experience

Qualifications

Required Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. A minimum of 3 years of professional experience in data engineering, focusing on AI and ML workflows. Expertise in Python programming with experience in libraries such as Pandas, NumPy, and Airflow. Practical experience in building and managing ETL/ELT pipelines. Solid understanding of cloud platforms (AWS, Azure, or GCP) and familiarity with deploying data infrastructure. Proficiency in SQL and NoSQL databases. Experience with container orchestration tools like Docker and Kubernetes is an advantage.

About the job

FlatGigs is on the lookout for a talented Data Engineer specializing in AI and Python to enhance our vibrant team. In this pivotal role, you will design and maintain scalable data pipelines and infrastructure that support AI-driven applications and analytics. Collaborating closely with data scientists and AI engineers, you will facilitate efficient machine learning workflows and foster data innovation.

Key Responsibilities

  • Craft, develop, and sustain scalable ETL pipelines utilizing Python to manage extensive structured and unstructured data.
  • Partner with AI teams to architect data solutions that streamline model training, evaluation, and deployment.
  • Execute data ingestion, cleansing, and transformation processes to ensure exceptional dataset quality for AI workflows.
  • Enhance data workflows and storage solutions for optimal performance and reliability.
  • Leverage cloud platforms (AWS, Azure, or GCP) to deploy and oversee data pipelines and supporting infrastructure.
  • Document processes and uphold data governance and compliance policies.
  • Engage in code reviews, testing, and continuous integration to produce robust, production-ready data solutions.

Requirements

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • A minimum of 3 years of professional experience in data engineering, focusing on AI and ML workflows.
  • Expertise in Python programming with experience in libraries such as Pandas, NumPy, and Airflow.
  • Practical experience in building and managing ETL/ELT pipelines.
  • Solid understanding of cloud platforms (AWS, Azure, or GCP) and familiarity with deploying data infrastructure.
  • Proficiency in SQL and NoSQL databases.
  • Experience with container orchestration tools like Docker and Kubernetes is an advantage.

Preferred Skills

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

Benefits

Competitive salary, leave entitlements, health insurance, and a hybrid work model.

About FlatGigs

FlatGigs is a forward-thinking company committed to leveraging technology to drive data solutions and innovations. We pride ourselves on our dynamic team and collaborative environment, where creativity and technical expertise intersect to deliver exceptional results.

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