Description

You will lead the design and implementation of large-scale data solutions.

Responsibilities

• Develop architecture blueprints for batch, real-time, and micro-batch design patterns.
• Design and implement scalable data solutions utilizing AWS services.
• Optimize data pipelines and manage large-scale data processing using Databricks.
• Enforce data governance policies to maintain data quality and compliance.

Required Skills

• 10+ years of experience leading data engineering teams and architects in complex big data environments.
• 7+ years of experience implementing scalable data solutions using AWS services (MWAA, Lambda, RDS, ECS, EKS).
• 6+ years of proficiency in Databricks, including PySpark, Unity Catalog, and SQL Warehouse.
• 5+ years of proficiency in Snowflake for query optimization, schema design, and security.
• Expertise in developing architecture blueprints for various data patterns.
• Deep knowledge of FinOps best practices across AWS, Databricks, and Snowflake.
• Skilled in deployment patterns and CI/CD tools such as CDK, CloudFormation, and Terraform.
• Familiarity with AppSecOps tools and practices.
• Any Graduate degree.

Key Skills

Education

Any Graduate