Role

As a Senior Data Engineer, you will play a crucial role in designing and implementing efficient and scalable data pipelines that meet business needs. You will work closely with diverse stakeholders, including business analysts, data scientists, and machine learning engineers. Leveraging your expertise in tools and technologies such as SQL, Spark, dbt, Databricks, and Snowflake, you will develop and optimize data architectures to support BI and AI use cases.

Requirements

Embark on a rewarding journey where you

• Assess and understand client's data landscape and assess data quality
• Work closely with business and IT stakeholders to understand business requirements
• Design, develop, and maintain scalable and efficient data pipelines on well-known data platforms such as Databricks, Snowflake or Synapse.
• Build and manage data infrastructure, including data storage, processing, and accesses
• Implement data models and schema designs to support data analysis and reporting needs
• Develop and maintain data quality and data governance frameworks
• Create data visualizations and reports to communicate insights to stakeholders
• Stay up to date with state-of-the-art data processing and analysis technologies.
• Contribute to an exciting environment with a challenging team
• Eventually participate in technical sales activities.
• Troubleshoot and debug data-related issues

In addition, this should be part of your background to apply

The following are a plus

Benefits

What we offer