Description

Build and maintain conceptual and logical database models. Develop data set processes for modeling, mining, and production. Integrate systems and manage data using programming languages. Implement process improvements by automating manual tasks, optimizing data delivery, and redesigning infrastructure for scalability. Collaborate with data scientists, business stakeholders, and IT teams to align on project goals.

Responsibilities

• Build and optimize conceptual and logical database models.
• Develop processes for data modeling, mining, and production.
• Integrate systems and manage data using Python, Java, Scala, or Ruby.
• Automate manual processes and redesign infrastructure for scalability.
• Collaborate with data scientists and stakeholders on project goals.

Required Skills

• Proficiency in Python, Java, Scala, or Ruby.
• Expertise in big data technologies: Hadoop, Spark, Kafka.
• Experience with relational SQL and NoSQL databases (PostgreSQL, MongoDB).
• Knowledge of data pipeline and workflow management tools.
• 10+ years of experience in data engineering.
• Ability to optimize data delivery and integration.

Preferred Skills

• Familiarity with data visualization tools like Tableau or Power BI.

Key Skills

Education

Any Graduate