```Duties```
As a Data Engineer, you will be responsible for the following duties:
1. Design, Build and optimize data integration pipelines using various integration patterns and solutions (e.g., ETL/ELT, Message driven, Event driven, Streaming API design).
2. Perform data mining and exploration to build various data models for analytical and operational needs.
3. Design and Build Analytical pipelines for both streaming and batching requirements in cloud which would provide actionable insights.
4. Solution and Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
5. Build analytical tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
6. Work with stakeholders including the Executive, Product, Data Science and Design teams to assist with data-related technical issues and support.
7. Design and develop Data assets for consumption for Analytics and Data Science teamsMinimum
```Skills```
To excel in this role, you should have the following skills:
1. Total 10+ years IT exp and 4 or more years of relevant software engineering experience using Java/Python in a data-focused role
2. Experience in designing and building highly scalable and reliable data pipelines in cloud technologies. Preferably in GCP using Data Flow, Cloud Functions and other analytical pipelines.
3. Expertise with SQL for complex Data Analysis and modeling.
4. Prior experience delivering scalable data solutions in cloud (AWS, GCP, Azure) and database technologies such as Oracle ,BigQuery and others
5. Experience using Data visualizations preferably using GCP Data Studio
If you are a detail-oriented individual with a passion for working with large datasets and optimizing data processes, we would love to hear from you. Join our team of talented Data Engineers and contribute to the success of our organization.
Job Type: Full-time
Pay: $50.00 - $55.00 per hour
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Schedule:
Work Location: In person