GCP Data Engineer

at  Cloud MR

As a GCP Data Engineer, you will play a crucial role in designing, building, and optimizing data pipelines and systems on the Google Cloud Platform. You will collaborate with cross-functional teams to ensure efficient data extraction, transformation, and loading processes, enabling data-driven insights and decision-making.

Responsibilities:

• Design and develop scalable data pipelines on GCP, utilizing services such as Big Query, Dataflow, Pub/Sub, and Cloud Storage.
• Implement data integration and ETL (Extract, Transform, Load) processes to collect and process data from diverse sources.
• Collaborate with data scientists and analysts to understand their requirements and ensure data availability for analysis and reporting.
• Optimize data processing workflows and storage strategies to maximize performance and cost-efficiency.
• Troubleshoot and resolve data quality issues, ensuring data integrity throughout the pipeline.
• Stay up to date with the latest advancements in GCP data engineering technologies and best practices.
• Collaborate with stakeholders to understand business needs and translate them into scalable data solutions.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong programming skills in languages such as Python, Java, or Scala.
• Extensive experience working with GCP services, including Big Query, Dataflow, Pub/Sub, Cloud Storage, and related technologies.
• Proficiency in SQL and data querying languages.
• Familiarity with data warehousing concepts and technologies, such as Big Query ML or Looker.
• Strong understanding of data modeling, data governance, and data security principles.
• Experience with large-scale data processing frameworks such as Apache Beam or Apache Spark.
• Excellent problem-solving skills and ability to work with complex datasets.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

If you are passionate about GCP and data engineering, and if you thrive in a collaborative and fast-paced environment, apply now! Join us in shaping the future of data-driven solutions on the Google Cloud Platform

• Design and develop scalable data pipelines on GCP, utilizing services such as Big Query, Dataflow, Pub/Sub, and Cloud Storage.
• Implement data integration and ETL (Extract, Transform, Load) processes to collect and process data from diverse sources.
• Collaborate with data scientists and analysts to understand their requirements and ensure data availability for analysis and reporting.
• Optimize data processing workflows and storage strategies to maximize performance and cost-efficiency.
• Troubleshoot and resolve data quality issues, ensuring data integrity throughout the pipeline.
• Stay up to date with the latest advancements in GCP data engineering technologies and best practices.
• Collaborate with stakeholders to understand business needs and translate them into scalable data solutions