Description

You will design and manage end-to-end data pipelines and analytics solutions.

This role is on-site.

Responsibilities

• Extract, transform, and load data from various sources into relational, multidimensional, NoSQL databases, or cloud-based data lakes.
• Model data using industry-standard methods to support downstream processing and analytics.
• Perform data testing and quality assurance to ensure accuracy across all pipelines.
• Analyze data links using SQL, statistics, and data science to generate actionable insights.
• Provide data access via file sharing or REST APIs while managing source control and CI/CD processes.

Required Skills

• 5-7 years of professional experience, including 2 years in data engineering.
• 2 years of experience in data warehousing.
• 2 years of experience with Microsoft Power BI.
• Proficiency in SQL and NoSQL databases.
• Programming experience in Python or R.
• Knowledge of Cloud Computing and Data Architectures.
• Competency in statistics and data science principles.
• Experience with CI/CD and REST APIs.

Preferred Skills

• Experience in customer consulting and requirements analysis for analytics topics.

Key Skills

Education

Any graduate