Description

You will build and maintain analytic technologies within a large-scale data warehouse environment, providing structured access to customer data.

This role is on-site.

Responsibilities

• Design and implement data platforms using third-party and in-house reporting tools.
• Model metadata and build reports and dashboards in Oracle BI Enterprise Edition (OBIEE).
• Cleanse, transform, and load data using AWS Glue and orchestrate workflows with Airflow.
• Collaborate with business stakeholders to translate requirements into analytical solutions.
• Maintain and support existing data engineering infrastructure.

Required Skills

• 5+ years of professional experience in data engineering.
• Strong proficiency in SQL for complex queries and optimization.
• Advanced Python programming skills for data manipulation and automation.
• Hands-on experience with AWS Glue for ETL processes.
• Experience with Apache Airflow for workflow orchestration.
• Proven expertise in data modeling concepts and implementation.
• Background working with Oracle BI Enterprise Edition (OBIEE).

Preferred Skills

• Experience with large-scale data warehouse architectures.

Key Skills

Education

Any Graduate