Overview
On Site
Compensation information provided in the description
Full Time
Skills
Data Engineering
Data Loading
ELT
Data Lake
Data Structure
Data-flow Diagrams
Data Quality
Management
Database
Extract
Transform
Load
Databricks
Python
Microsoft Azure
Data Warehouse
Job Details
Data Engineer - Must have Databricks Certification
Note: Need them to have a Data Bricks Certificate that is current. They have to have at least 3 to 5 years IT experience and knowledge of Python, Azure, Airflow and Databricks and Data Warehousing. Paying $130K and there is no bonus. Right now it is hybrid, with maybe one day a week in the office.
Responsibilities:
Requirements:
Note: Need them to have a Data Bricks Certificate that is current. They have to have at least 3 to 5 years IT experience and knowledge of Python, Azure, Airflow and Databricks and Data Warehousing. Paying $130K and there is no bonus. Right now it is hybrid, with maybe one day a week in the office.
Responsibilities:
- Build data pipelines / data orchestrator and data structures for existing operational data stores, Azure data lake & data warehouse.
- Develop proof-of-concepts to evaluate new technologies and suggest improved and better ways to re-architect existing data loading processes and data structures.
- Design and develop ELT / ETL to load data from internal sources into operational data stores, Azure data lake and data warehouse.
- Create APIs, data structures and schemas to store and retrieve data.
- Create and maintain data mappings, data definitions, architecture, and data flow diagrams.
- Implement solutions to validate and test data quality.
- Build proof-of-concepts to determine viability of new processes and technologies.
- Deploy and manage code in non-prod and prod environments.
- Troubleshoot data related issues and fix defects.
- Optimize and performance tune databases and queries.
- Participate in code reviews and train other team members.
- Document code and create code templates based on industry best practices.
Requirements:
- Bachelor's Degree and/or equivalent experience required.
- Minimum 5 years of experience working as a Data Engineer, ETL Engineer, Data/ETL Architect or similar roles.
- 3 -5 years of solid experience with Databricks, Python, Airflow, Azure, and Data Warehousing.
- Data Bricks Certificate that is current is a must.
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