databricks engineer - Delivery Senior Consultant, Data Engineering and Conversion Solutions
- 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
- 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
- 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
- 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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