Design and implement scalable efficient data pipelines and ETL processes using AWS Databricks and AWS S3
Collaborate with crossfunctional teams to integrate complex data solutions aligned with business objectives
Optimize data storage and retrieval strategies on AWS S3 for enhanced performance and cost efficiency
Develop and maintain Databricks notebooks and scripts to support data transformation analytics and reporting
Monitor data workflows to ensure high data quality accuracy and reliability
Stay current with new AWS and Databricks features tools and best practices to continuously improve data platform capabilities

Roles and Responsibilities

Lead the design development and deployment of data processing solutions on AWS Databricks
Manage and maintain AWS S3 storage buckets including implementing data lifecycle policies and security controls
Collaborate closely with data engineers data scientists and business stakeholders to gather analyze and translate requirements into technical solutions
Implement and enforce data governance compliance and security standards within the data platform
Provide technical leadership mentorship and guidance to junior team members on AWS Databricks technologies and best practices
Conduct performance tuning and cost optimization of data workloads to ensure efficient resource utilization
Participate actively in code reviews documentation and knowledge sharing sessions to promote team excellence

Skills

Mandatory Skills : AWS EC2, AWS S3, Databricks

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AWS Data Architect

Job Description

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