Dataengineer - Remote/ Wfh

**Join a team and inspire the work**:
This is where individuals' imaginations gather together, committing values that lead to great work.Here, you i’ll do more than join something-rather you i’ll add something.

“Discover yourself. Introduce yourself, and we'll contact you if a role appears to be a good match.”

**DataEngineer - Remote/ WFH****:
**Data Engineer**:
In your role as an Data Engineer, you will be responsible for expanding and optimizing data and pipeline architectures, and for optimizing data collection and flow across functional teams. Your responsibilities include assisting software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing projects.**Responsibilities**:

- Develop and maintain innovative Azure solutions
- Solution design using Microsoft Azure services and other tools
- The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
- Build data pipelines to collectively bring together data
- Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse
- Previous experience as an Azure Data Engineer or similar role
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
- Strong analytical skills related to working with unstructured datasets
- The ability to design and implement well written code
- Ability to work to tight deadlines
- Ability to test the data from source to the presentation layer
- Ability to support/troubleshoot data pipelines
- Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams

**Skill Sets required.**
- **At least 5+ years experience.**:

- **Strong experience in Azure Data Services, Azure Functions.**:

- **PostgreSQL, Oracle PL-SQL/SQL, Teradata MDM, PySpark ETL, Data Warehousing**:

- **Python, Java, Data Visualization, AWS data services.**:

- **Experience and knowledge in AWS Data Services will be a plus.