Data Engineer – Databricks & AWS
New
D
DCV TechnologiesData Engineering
Remote within the EU, US business hours / significant overlap with the US teamFull-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English – C1 level
- Experience
- 2–3 years
- Required Skills
- AWSSQLData modelingDatabricks
Requirements
- 2–3 years of professional experience in Data Engineering.
- Hands-on experience with Databricks and AWS.
- Strong SQL skills and a solid understanding of relational databases.
- Good understanding of data modeling, ERDs, data grain, relationships, and join cardinality.
- Experience building, testing, and troubleshooting data pipelines.
- Ability to independently validate your work and perform unit testing before deployment.
- Strong analytical and problem-solving skills.
- Ability to work independently in a remote, distributed team.
- English at C1 level or equivalent, with the ability to communicate effectively with a US-based team.
Responsibilities
- Design, develop, and maintain reliable data pipelines within the Databricks Lakehouse and Medallion Architecture.
- Support the centralization and integration of data from multiple internal systems and sources.
- Work with AWS services, including Amazon S3, Amazon Connect, Contact Lens, and Amazon Bedrock.
- Translate business and technical requirements into scalable data solutions.
- Work with ERDs and data models, ensuring a clear understanding of data structures, grain, relationships, and join cardinality.
- Write efficient and maintainable SQL and data transformation logic.
- Perform unit testing and data validation to ensure the quality and reliability of your development before deployment.
- Troubleshoot data pipeline issues and investigate data quality or integration problems.
- Collaborate with other engineers and stakeholders to continuously improve our data platform and engineering practices.
View Full Description & ApplyYou'll be redirected to the employer's site
