6 of 6 Remote Cloud Composer Jobs

to spearhead data initiatives within our cyber security division. The ideal candidate will possess a robust background in data engineering, particularly within the Google Cloud Platform (GCP), and will be adept at designing and implementing scalable data solutions. ?? Key Responsibilities API Development: Design, develop, and maintain robust and … scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modelling: Develop and maintain … data models and schemas to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google More ❯

for building and maintaining scalable, efficient, and reliable data pipelines. You'll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation. Key Responsibilities Design, build, and maintain … robust data pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and More ❯

for building and maintaining scalable, efficient, and reliable data pipelines. You’ll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation. Key Responsibilities Design, build, and maintain … robust data pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and More ❯

for building and maintaining scalable, efficient, and reliable data pipelines. You’ll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation. Key Responsibilities Design, build, and maintain … robust data pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and More ❯

Join a dynamic team where your expertise in Google Cloud Platform fuels innovation, drives smarter decisions, and supports business growth through powerful data engineering. We're on the lookout for a skilled GCP Data Engineer to design and implement efficient, secure, and scalable data pipelines. Your work will … storage, and enhance operational efficiency using the latest GCP tools. What You'll Be Doing Design, develop, maintain, and optimize data pipelines on Google Cloud Platform . Build and manage data warehouses and lakes using tools like BigQuery , Cloud Storage , and Dataflow . Leverage GCP services … including Cloud Pub/Sub , Cloud Composer , and Dataflow to ensure seamless data flow and processing. Use your expertise in SQL , along with experience in relational and NoSQL databases. Transform and process data using Python , Spark , or Scala . Implement secure, scalable ETL frameworks More ❯

this role • Proficient in Java, preferably Kotlin, with experience on Java 11, Gradle and Apache Spark • Experience in GCP, preferably Big Query and Cloud Composer • Experience with CI/CD, preferably GitHub and GitHub action • Experience with Agile is desirable, with strong adaptability and an open More ❯