Description

You will design and implement the data platform architecture and quality frameworks required to support business processes.

Responsibilities

• Design and implement data integrations and frameworks to monitor data quality and availability.
• Develop long-term data platform architecture strategies in collaboration with engineering teams and business units.
• Implement processes to troubleshoot and resolve data-related issues through deep data analysis.
• Collaborate with frontend engineers, backend engineers, product managers, and analysts to deliver data solutions.

Required Skills

• 6-10 years of experience designing and implementing data pipelines.
• Strong expertise in Snowflake, including data modeling, ETL, and data warehousing.
• Proficiency in dbt (Data Build Tool) for data transformation and management.
• Advanced SQL skills and a deep understanding of database systems.
• Experience with data integration, data processing, and data quality frameworks.
• Experience with object storage, data lakes, and lakehouses.
• Proficiency with version control tools like Git.
• Advanced English written and spoken communication skills.
• Bachelor's Degree in Computer Science, Engineering, or a related technical field.

Preferred Skills

• Familiarity with Azure Data Services (Azure Data Factory, Azure Storage, Azure Synapse).
• Experience with Databricks, Apache Spark, or Kafka.
• Cloud platform certifications.

Key Skills

Education

Bachelor's Degree