Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Your work profile
The AWS data engineer is responsible for managing client relationships and overseeing the successful delivery of programs or accounts. This role serves as the primary point of contact between the organization and its clients, ensuring alignment of goals, timelines, budgets, and expected outcomes while driving client satisfaction and business growth.
Key Skills & Competencies
6+ years of experience in Design and implement batch and real-time data pipelines using AWS Glue, EMR, Kinesis, Lambda, and Step Functions.
Lead the design, development, and optimization of scalable data pipelines on AWS.
Develop and manage data lakes using Amazon S3 and data warehouses using Amazon Redshift.
Build ETL/ELT workflows using Glue, PySpark, and SQL for large-scale data processing.
Work with streaming data architectures using Amazon Kinesis and event-driven processing.
Design data models and optimize data storage for performance and scalability.
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