Help design, build and continuously improve the clients online platform.
Research, suggest and implement recent technology solutions following best practices/standards.
Take responsibility for the resiliency and availability of different products.
Be a productive member of the team.
Requirements
8+ years of experience in Data Engineering.
Experienced Databricks Engineer to design, develop, and maintain scalable data solutions using Databricks and cloud technologies.
Develop and maintain data pipelines using Databricks, PySpark, and SQL.
Work with Delta Lake, Databricks Workflows, and Jobs.
Build and optimize ETL/ELT pipelines for large-scale data processing.
Collaborate with Data Engineers, Architects, and business stakeholders.
Troubleshoot and optimize pipeline and data-processing performance.
Implement data quality, monitoring, and engineering best practices.
Strong hands-on experience with Databricks and PySpark.
Positive knowledge of SQL, ETL/ELT, and Data Warehousing.
Experience with Azure, AWS, or GCP.
Familiarity with Git, CI/CD, and DevOps practices.
Strong communication and problem-solving skills.
Experience with Azure Data Factory, Databricks Unity Catalog, Terraform, and streaming technologies.
Benefits
A challenging, innovating setting.
Opportunities for learning where needed.