Description

You will design and develop scalable data pipelines, integrations, and data warehousing solutions to support business intelligence and analytics platforms.

This role is hybrid.

Responsibilities

• Design and build scalable data pipelines and integrations to handle increasing data volume and complexity.
• Define and implement data integration processes used across the organization.
• Build conceptual and logical data models for stakeholders and management.
• Provide BI and Data Warehousing (DW) solutions leveraging project standards and analytics platforms.
• Improve data models feeding BI and visualization tools based on analytics and business team needs.

Required Skills

• 2+ years of professional experience in data engineering.
• Proficiency in SQL, T-SQL, and Oracle PL/SQL programming and tuning.
• Experience with relational databases (RDBMS) such as Oracle, MySQL, and MS SQL Server.
• Hands-on experience with AWS, Azure, and Google Cloud platforms.
• Knowledge of Big Data technologies, including Hadoop, Hive, and PySpark.
• Familiarity with DevOps practices.
• Experience designing databases using ER data modeling tools.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate