- Work with team members to design and implement data solutions in alignment with the project schedule.
- Codes, tests, and documents new or modified data systems to create robust and scalable data platform for our applications.
- Works with developers to make sure that all data solutions are consistent.
- Expand and grow data platform capabilities to solve new data problems and challenges.
- Help to create and maintain a data catalog for each project.
- Design the logical model and implements the physical database to support business needs.
- Conduct logical and physical database design.
- Design key and indexing schemes and designs partitioning.
- Ensure database changes are reviewed and approved according to database design standards and principles.
- Analyze and resolve technical and application problems.
- Provide analysis and troubleshooting for production issues & code deployment activity.
- Work with various services from Amazon Web Services (AWS) and Microsoft Azure to build, host and maintain data extraction, transformation and loading functions to data warehouse.
- Bachelor's degree in Computer Science, Mathematics, or Engineering or equivalent work experience.
- 3+ years of data engineering, ETL, or software engineering experience.
- 3+ years of experience in writing SQL queries.
- 3+ years of experience with PostgreSQL and AWS Redshift.
- 3+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, RDS, SQS, and Lambda.
- Programming experience in Python and Linux bash.
- Demonstrated experience with agile or other rapid application development methods.
- Good knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases.
- Ability to collaborate and partner across a diverse team
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Data Engineer - McLean, United States - Tandym Group
Description
An education tech services company in Virginia is currently seeking a new Data Engineer for a promising opportunity with their growing staff. In this role, the Data Engineer will be responsible for the design, structure, and maintenance of data.
***This is a Hybrid opportunity requiring the qualified professional to work onsite at least 2 days a week.***
*** VISA sponsorship is not available ***
Responsibilities: