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.,

Design and develop scalable data pipelines on GCP, utilizing services such as BigQuery, 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., Design and develop scalable data pipelines on GCP, utilizing services such as BigQuery, 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

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 BigQuery, Dataflow, Pub/Sub, Cloud Storage, and related technologies.

Proficiency in SQL and data querying languages.

Familiarity with data warehousing concepts and technologies, such as BigQuery 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.