Description

You will design, develop, and deploy data models and predictive analytics to support international business operations.

This role is on-site.

Responsibilities

• Design and deploy data, predictive, analytic, and scoring models.
• Automate and optimize data services in collaboration with the data team.
• Create visual reports, dashboards, and KPI scorecards using Power BI.
• Maintain and improve data model development, testing, and QA processes.
• Present data insights derived from existing sets and new analytical modeling.

Required Skills

• 8+ years of experience in data warehousing and data lakes.
• Minimum 2 years of experience working with GCP.
• Strong Python engineering, including package management, logging, and debugging.
• Expertise in SQL, writing complex statements, and reading SQL.
• Proficiency in DAX, Power BI, and Tableau.
• Experience with ETL tools, specifically DataStage, and ETL component design.
• Strong Unix shell scripting and VBA skills.
• Knowledge of Parquet, XML, JSON, and RESTful APIs.
• Experience with Spark distributed computing frameworks.
• Familiarity with Git, CI/CD, and Agile development.
• Ability to create automated unit test cases.

Preferred Skills

• Experience loading data from disparate sources using SQL Server and Microsoft BI tools.

Key Skills

Education

Any Graduate