Senior Databricks Engineer
2 days ago
Role:
Senior Databricks Engineer
Platform:
Databricks Unified Data Analytics Platform
Summary
As a Senior Databricks Engineer, you will design, develop, and maintain data solutions that support data generation, collection, and processing. You will build and optimize data pipelines, ensure data quality, and implement ETL (extract, transform, load) processes to migrate and deploy data across systems. Collaboration with cross-functional teams will be key to addressing challenges and improving data workflows, ultimately enhancing the efficiency of the organization's data management practices.
Roles & Responsibilities
- Perform independently and act as a Subject Matter Expert (SME).
- Actively participate and contribute to team discussions.
- Provide effective solutions to work-related challenges.
- Collaborate with international, cross-functional teams to gather requirements and translate them into technical specifications.
- Monitor and optimize data pipelines for performance, scalability, and reliability.
- Document data processes and workflows for clarity and knowledge sharing.
- Stay updated with industry trends and best practices in data engineering to drive continuous improvement.
Qualifications
- Proficiency in
Databricks
or the
Databricks Unified Data Analytics Platform
. - Strong understanding of
data modeling
and
database design principles
. - Hands-on experience with
ETL tools
and
data integration techniques
. - Familiarity with cloud platforms and services related to data storage and processing (Azure, AWS, Google Cloud).
- Good to have:
Experience with
Apache Spark
and
data lake architectures
. - Minimum of
1 year of experience in Databricks
or the Databricks Unified Data Analytics Platform. - Functional users with relevant experience are also welcome to apply.
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