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