Data Engineer - AWS
Amazon Athena
Amazon Emr
Amazon Web Services
AWS
Aws Data Lake
Aws Data Warehouse
Aws Glue
Aws Services
Big Data
Cloud
Cloud Computing
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Engineer
ETL
Informatica
Information Technology (IT)
IT Services
SQL
Job Description
Deloitte is hiring a Data Engineer III on the AI & Data team to support technology-focused client delivery with an AWS-centric data engineering focus.
Responsibilities
- Deliver client engagements focused on AWS-based data engineering and delivery
- Manage day-to-day interactions with client stakeholders and sponsors as the primary technical point of contact for your workstreams
- Lead teams through business requirements gathering, functional design, process mapping, and support-model definition
- Provide technical direction throughout requirements, design, planning, and delivery activities
- Develop and maintain project scope, schedule, and resource plans for your workstream, adjusting as engagement needs evolve
- Maintain clear and consistent communication with client stakeholders and internal engagement leadership
Requirements
- 8+ years of relevant technology consulting experience in cloud modernization, data engineering, and business intelligence
- 3+ years of experience with AWS-based data lakes, data warehouses, analytics platforms, and operational data stores
- 3+ years of experience with AWS data services, including: AWS Glue, EMR, S3, Athena, Redshift, RDS, Lambda, or Step Functions
- 5+ years hands-on experience with Python, PySpark, SQL, and PL/SQL
- 2+ years of experience leading, managing, and delivering workstreams or small teams with complex technical engagements with resources in multiple locations
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
- Travel of 50% on average, based on work, clients, and industries/sectors served
- Limited immigration sponsorship may be available
Core Technologies
- AWS, AWS Glue, EMR, S3, Athena, Redshift, RDS, Lambda, Step Functions
- Python, PySpark, SQL, PL/SQL
Team
- AI & Data practice provides solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services
- Helps clients innovate, enhance, and manage data, AI, and analytics capabilities to grow and scale effectively
Preferred
- Experience creating critical collaterals for client workshops and customer interactive sessions
- Experience presenting technical content to both large and small audiences