Description

You will design, build, and optimize scalable data engineering solutions for secure and reliable data processing.

This role is on-site.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, SQL, and UNIX/Linux scripting.
• Automate workflows and manage dependency tracking using orchestration tools.
• Build and maintain CI/CD pipelines adhering to DevOps best practices.
• Support AI/ML initiatives, including feature engineering and MLOps integrations.
• Partner with data scientists and architects to translate technical concepts for stakeholders.

Required Skills

• 9+ years of experience in data engineering or a related field.
• Strong programming proficiency in Python, PySpark, SQL, and UNIX/Linux scripting.
• Proven experience deploying data solutions in Azure or GCP.
• Expertise in query tuning, distributed computing, and data modeling.
• Familiarity with containerization using Docker and Kubernetes.
• Experience with orchestration tools such as Airflow or Prefect.
• Knowledge of CI/CD pipelines and modern API architectures.
• Experience with Git-based version control.

Key Skills

Education

Any Gradute