Description

You will design and oversee large-scale data systems, focusing on Databricks, Data Lakehouse, and Amazon Redshift architectures.

This role is on-site.

Responsibilities

• Design large-scale data systems and implement robust data modeling techniques.
• Develop Databricks and Data Lakehouse architectures for efficient data storage and processing.
• Build event-driven architectures using streaming data platforms like Kafka or Kinesis.
• Manage Amazon Redshift schema design, performance tuning, and workload management.
• Implement ETL/ELT processes and maintain data cataloging and lineage.

Required Skills

• 7+ years of experience in data architecture and data modeling.
• Hands-on experience with Databricks and Data Lakehouse designs.
• Expertise in streaming platforms such as Kafka or Kinesis.
• Proficiency in Amazon Redshift management.
• Strong knowledge of AWS services including S3, Glue, Lambda, and IAM.
• Experience with ETL/ELT techniques.
• Familiarity with data cataloging and lineage tools.
• Advanced proficiency in PowerPoint for technical communication.

Preferred Skills

• Strong verbal and written communication skills for stakeholder alignment.

Key Skills

Education

Any Gradute