Analytics Engineer - Remote

Overview

As an Analytics Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies.

In Short

• Design and develop Azure Data Platform to modernize and optimize processes.
• Migrate SSAS cube objects and SSIS pipelines to Azure Cloud Resources.
• Enhance operational efficiency through UI/UX improvements and automation.
• Develop a universal data platform for global aerospace companies.
• Transform data management for energy management associations.
• Build advanced data visualizations and reports using Power BI.
• Write and optimize SQL queries and database procedures.
• Design and optimize ETL/ELT processes, Data Warehouses, and Data Lakes.
• Deploy and manage data applications using Docker and Kubernetes.
• Contribute to project and product development actively.

Requirements

• Experience with Azure and Databricks.
• Proficiency in SQL and data modeling.
• Knowledge of ETL/ELT processes.
• Familiarity with Docker and Kubernetes.
• Ability to work with various data storage technologies.
• Strong analytical and problem-solving skills.
• Experience in data visualization tools, especially Power BI.
• Ability to gather and analyze requirements effectively.
• Experience with Apache Spark and PySpark is a plus.
• Strong communication and teamwork skills.

Benefits

• Opportunity to work on innovative data projects.
• Collaboration with top-tier global enterprises.
• Recognition as a leading AI consulting firm.
• Professional development and growth opportunities.
• Dynamic and supportive work environment.