As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this role, you will collaborate with cross-functional stakeholders to develop data pipelines, improve data quality, and support data governance and integration efforts. The ideal candidate brings hands-on experience in data engineering and the ability to manage multiple priorities in a dynamic environment.
Work you'll doAs a US Delivery Center Senior Consultant, Data Engineering and Conversion Solutions on the team, you will:
- Design, build, test, and maintain data pipelines and data integration solutions
- Support data modeling, transformation, and storage processes across structured and unstructured data sources
- Monitor data workflows, troubleshoot issues, and implement fixes to improve reliability and performance
- Collaborate with business, analytics, and technology teams to define data requirements and support delivery priorities
- Apply data quality, metadata, and governance standards across data assets and processes
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
QualificationsRequired:
- Bachelor's degree required
- Must be able to obtain and maintain the required clearance for this role
- 2+ years of experience in data engineering, data integration, or data management, including 2+ years of experience with Structured Query Language (SQL)
- 2+ years of experience building or supporting extract, transform, and load (ETL) or extract, load, and transform (ELT) pipelines
- 2+ years of experience with Python and PySpark
- 1+ years of experience with Databricks and cloud-based data platforms, including data pipeline development and data transformation
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience with data warehousing concepts and dimensional data modeling
- Experience with data quality, metadata, or data governance processes
- Experience working with application programming interfaces (APIs) and system integrations
- Experience supporting Agile delivery teams
- Experience in a professional services environment
- Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations
- Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
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Requisition code: 361348
Job ID 361348