Description

You will own the design, implementation, and optimization of large-scale data warehouse solutions.

Responsibilities

• Design conceptual, logical, and physical data models supporting scalability and performance.
• Optimize database performance, indexing, and storage strategies across data warehousing environments.
• Implement security measures for data at rest and in transit, defining access controls and compliance.
• Design data integration solutions across systems, ensuring smooth data flow between applications, APIs, and data warehouses.

Required Skills

• 5+ years of Data Warehousing experience.
• 5+ years of experience designing data models.
• Expertise in SQL and NoSQL databases.
• Experience building large data lakes and Data Warehouses, specifically Snowflake.
• Proficiency in Python as an Object-Oriented programming language.
• In-depth understanding of Big Data data pipeline architecture, particularly for cloud platforms (AWS, Azure).
• Experience with AWS services including Kafka, Kinesis, SQS, SNS, Lambda, API Gateway, DynamoDB, Aurora, and RDS PostgreSQL.
• Demonstrated experience designing, developing, and deploying software at scale.
• Bachelor's degree in Computer Science or Information Technology or related field.

Key Skills

Education

Bachelor's degree