Position Summary
Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work you'll do
As a Delivery Senior Consultant, Data Engineering and Conversion Solutions on the GPS AI & Data team, you will be responsible for…
- Designing, building, and maintaining data pipelines for ingestion, transformation, validation, and delivery
- Executing data conversion activities, including profiling, cleansing, mapping, reconciliation, and defect resolution
- Developing SQL-, Python-, and cloud-based workflows that support integration, reporting, and downstream application needs
- Collaborating with functional, testing, and deployment teams to document requirements, support releases, and resolve data issues
- Monitoring data quality, troubleshooting production issues, and identifying improvements for performance, controls, and scalability
A successful candidate would possess these skills:
- 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 provide clear guidance to others
The team
Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte’s scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.
The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.
Qualifications
Required:
- Bachelor’s degree in computer science, information systems, engineering, analytics, mathematics, or another quantitative field
- 4+ years of experience in data engineering, data integration, or data conversion
- 4+ years of experience writing SQL for data extraction, transformation, validation, and reconciliation
- 3+ years of experience using Python, Apache Spark, or both for data processing and transformation
- 2+ years of experience with cloud data platforms or services and extract, transform, and load or extract, load, and transform pipeline development, source-to-target mapping, and data quality testing
- Ability to travel 0–10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- 1+ year of experience supporting government, public sector, or higher education data programs
- Experience with Snowflake, Databricks, Amazon Redshift, Google BigQuery, or Azure Synapse
- Experience with Informatica, Talend, dbt, Apache Airflow, or similar data integration tools
- Experience executing mock conversions, cutover support, and reconciliation reporting
- Experience working in Agile delivery environments
- Cloud certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform
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