Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Project Delivery Analyst- Data Engineeryou will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work you'll do/Responsibilities
The Team
As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.
Qualifications
Required
Preferred
Work you'll do/Responsibilities
- create end-to-end data pipelines that efficiently collect, transform, and load data from various sources to your designated destinations.
- Design, development, and implementation of data pipelines and ETL processes, leveraging advanced Python programming skills to handle large datasets effectively
- Seeing through deliverable from development to finished product.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
The Team
As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.
Qualifications
Required
- 2+ years of experience as a Data Engineer or similar role, with a focus on designing and implementing data pipelines
- 2+ years of experience with Azure services, including Azure Data Factory, Azure Synapse Analytics, Data Bricks, Python, PySpark, SQL (including Stored Procedures), Apache Airflow and other related tools
- Proficient in designing, developing, and optimizing scalable large volume pipelines to support the processing of structured and semi-structured data.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
- Data Engineer or similar role, with a focus on designing and implementing data pipelines
- Health Care Industry knowledge
- Analytical/ Decision Making Responsibilities
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations