Data Engineer - Senior Associate

Responsibilities

• Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
• Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
• Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
• Applying data architecture development and database management skills to optimize data solutions
• Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
• Building and managing data lakes and warehouses to support large-scale data storage and retrieval
• Confirming data quality and validation through rigorous testing and performance tuning
• Collaborating with clients to understand their data requirements and deliver actionable insights
• Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
• Implementing data security best practices to protect sensitive information and maintain compliance
• Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
• Supporting the development of data strategies to drive business growth and informed decision-making

Requirements

• Bachelor's degree
• At least 2 years of experience

Technologies

• Amazon Web Services (AWS)
• Azure Data Factory
• Apache Airflow
• Apache Hadoop
• Databricks

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave
• Annual discretionary bonus

The Opportunity

In Technology Consulting, this role applies advanced data techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights to support informed decision-making and drive business growth. Using a broad set of tools, methodologies, and approaches, you will generate ideas and solve problems, contributing to project strategy and objectives.