Fabric+Pyspark+SQL

Responsibilities

- Designing and implementing data pipelines and integration solutions to support efficient data processing and analysis
- Developing and maintaining data infrastructure using platforms such as Apache Hadoop and Azure Data Factory
- Utilizing advanced data engineering techniques to transform raw data into actionable insights for informed decision-making
- Leading teams in the strategic planning and execution of data-driven initiatives to drive business growth
- Coaching team members to leverage their unique strengths and manage performance to meet client expectations
- Collaborating with stakeholders to identify opportunities for optimizing data utilization and improving business outcomes
- Applying technical proficiency in cloud-based analytics platforms like Snowflake and Databricks to enhance data solutions
- Validating data integrity and security within analytics frameworks to uphold professional standards
- Encouraging innovation and embracing technology to enhance delivery and inspire team development

What You Must Have

- At least a Bachelor's degree
- At least 8+ years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms and tools
- Utilizing cloud platforms like AWS and Azure for data solutions
- Excelling in data modeling and data pipeline development
- Leveraging AI-human collaboration to enhance data analytics
- Embracing agile methodologies for scalable data projects
- Mentoring teams in data strategy and transformation initiatives