Description

You will build and maintain data infrastructure across on-premises and cloud environments while managing large, diverse datasets.

This role is on-site.

Responsibilities

• Build and maintain data infrastructure using cloud and on-premises environments.
• Design and optimize database structures using SQL and Oracle.
• Apply data mining and segmentation techniques to extract insights.
• Perform mathematical and statistical analysis to interpret and collate data.
• Document complex business processes and manage customer data requests.

Required Skills

• 5+ years of industry experience in data engineering.
• Expertise in SQL and Oracle database management.
• Hands-on experience with at least one major cloud provider: AWS, GCP, or Azure.
• Proficiency with Kubernetes and Docker for containerization.
• Experience with Apache Hadoop and Apache Spark for big data processing.
• Working knowledge of NoSQL databases including MongoDB, Cassandra, and DynamoDB.
• Strong understanding of database structure principles.
• Ability to perform statistical analysis and data interpretation.
• Professional English communication skills.

Preferred Skills

• Experience with orchestration tools like Airflow or Prefect, or Elastic Stack.
• Knowledge of BI tools such as PowerBI, Tableau, or QlikView.

Key Skills

Education

Any Graduate