Lead Data Engineer - Data Archival

Job description:

Our team Data-as-a-service is expanding, and we need 3 big data experts to join us!

Today we manage SG Data platform service offers and data tools:

Data ingestion: to ingest the data from a data source

Data processing: to process, transform and distribute the data to the target location

Data exposition : to distribute and expose the data hosted in the data platform

Data cleaning: to purge the data on the Lake in a secure way

Data tools: data formatter, data anonymizer

As a big data engineer, you ll develop, maintain and create new cloud-oriented features hand-by-hand with DDS/Data Foundation teams to bring forward the data approach across all SG entities and subsidiaries.

Skills:

- Computer programming: Spark, Scala, Java, Python

- Operating system knowledge for Unix, Linux

- Databases and SQL

- ETL and data warehousing

- Hadoop

- Apach Spark

Tasks:

Maintain an excellent service level of the platform and avoid issues.

Researching new methods of obtaining valuable data and improving its quality

Creating and enhancing data solutions using various programming languages and tools

Creating and enhancing data architectures that meet the requirements of the business

Communicate inside if the tech league group to find new approaches