Data Integration Engineer

Job Description:

Design and develop the ETL/ELT environments, processes, and scripts to acquire data from different source systems and apply the data logic and rules to the target environment.

Integration Engineer to support the delivery of multi-organizational integration projects and enterprise data-warehouse.

Responsibilities:

Data Integration Engineer

Gathering the ETL/ELT requirements.

Design, Develop, Test ETL/ELT different scenarios and support the ETL/ELT processes to Extract, Transforming and Loading data from different sources to the data warehouse.

Create and maintain optimal integration solutions including data pipeline architecture.

Analyze multiple sources of structured and unstructured data to propose and design data architecture solutions for scalability, high availability, fault tolerance, and elasticity.

Assist architects in the design and implementation of high-performance systems with large volume data integration processes, database, storage, and provisioning.

Design scalable patterns and architecture to support both batch and real-time data products & platform using analytics technologies such as SQL Data Warehouse, Spark, CDC, or other data technologies.

Azure Certified (Data track - dp-900 dp203) and (infrastructure track - AZ 104)

Querying Data with Transact-SQL / ANSI SQL.

DevOps & GitHub Skills.

Remote Work :

No