Key Facts

Remote From:

Full time

English

Hard Skills

BigQuery Data Engineering SQL (Programming Language) gRPC Data Fusion Apache Spark Cloud Computing Data Processing Cloud Storage Apache Kafka Cloud Dataflow ETL (Extract Transform Load)

Roles & Responsibilities

Strong knowledge of data engineering principles and GCP data technologies.
Proficiency in maintaining ETLs across structured and unstructured data sources.
Experience with SQL databases and executing complex queries.
Hands-on experience with Google Data Products such as BigQuery, Data Fusion, Dataflow, Cloud Storage, and Cloud Functions.

Requirements:

Support and maintain existing GCP Data Management implementations.
Collaborate within the GCP community to exchange knowledge and contribute to learning programs.
Conduct end-to-end data analysis, including collection, processing, and interpretation.
Work with technologies like Spark and Kafka to enhance data processing workflows.

Job description

*Act as a subject matter expert in data engineering and GCP data technologies.

*Knowledge of how to maintain ETLs operating on a variety of structured and unstructured sources.

*Liaise and be part of our extensive GCP community, contributing to the knowledge exchange learning programme of the platform.

*Indepth knowledge about SQL databases and ability to execute queries quickly.

Support existing GCP Data Management implementations

Skill:
*Conducting endtoend analyses, including data collection, processing, and analysis.

*Hands on and deep experience working with Google Data Products (e.g. BigQuery, Cloud Data Fusion,Dataflow, Cloud Storage, Cloud Functions etc.).

*Experience in Spark (ScalaPythonJava) and Kafka added advantage