Description

You will build and maintain data pipelines and storage solutions to support AI and machine learning applications.

Responsibilities

• Design, develop, and maintain scalable data pipelines and storage solutions.
• Apply statistical techniques and machine learning models to analyze large datasets for actionable insights.
• Collaborate with cross-functional teams to deliver robust data solutions.
• Improve data governance, quality, and integration practices across the platform.
• Participate in peer code reviews to maintain high code quality standards.

Required Skills

• 7+ years of professional experience in software development.
• Strong proficiency in Python and data libraries including Pandas, NumPy, and Scikit-learn.
• Experience with ETL processes, data modeling, and data warehousing.
• Solid understanding of SQL and experience with relational and non-relational databases.
• Knowledge of machine learning algorithms and their real-world applications.
• Experience with cloud services including AWS, GCP, or Azure.
• Practical experience with Big Data technologies such as Spark and Hadoop.
• Ability to perform data visualization and data science tasks.
• Any Graduate degree.

Key Skills

Education

Any Graduate