Data Engineer

You will manage large, diverse datasets across on-premises and cloud-based infrastructure.

Responsibilities

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

Required Skills

• 5+ years of industry experience.
• Expertise in SQL and Oracle.
• Hands-on experience with AWS, GCP, or Azure.
• Proficiency with Kubernetes and Docker.
• Experience with Apache Hadoop and Apache Spark.
• Working knowledge of 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 Airflow, Prefect, or Elastic Stack.
• Knowledge of PowerBI, Tableau, or QlikView.
• Familiarity with Redis, Memcached, or Docker Swarm.