Data Engineer

JD:

Experience of at least 3 years analyzing databases with millions of records and providing solutions to specific business needs.

Solid knowledge of banking products.

Experience with data warehousing environments and databases with multidimensional analytical models.

Others: Commitment, effective communication, collaboration with other work teams, time management, analytical thinking, and problem-solving.

1. Analyzing business requirements for data integration from a technical perspective.

2. Developing and maintaining efficient solutions for data integration, transformation, and storage.

3. Designing, implementing, and maintaining ETL pipelines.

4. Power BI.

5. Knowledge of cloud services (GCP, AWS, AZURE).

6. Data visualization tools.

• SQL server

• Python

• SQL server Integration Services

• Datatools