Senior Data Engineer -GCP

Mountain View, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role : Senior Data Engineer - GCP

Location : Mountain View CA (Onsite)

What youll do

Develop and enhance Python frameworks and libraries to support data processing quality lineage governance analysis and machine learning operations.
Design build and maintain scalable and efficient data pipelines on GCP.
Implement robust monitoring logging and alerting systems to ensure the reliability and stability of data infrastructure.
Build scalable batch pipelines leveraging Big query Dataflow and Airflow/Composer scheduler/executor framework on Google Cloud Platform
Building data pipelines leveraging Scala Pub Sub Akka Dataflow on Google Cloud Platform
Design our data models for optimal storage and retrieval and to meet machine learning modeling using technologies like Bigtable and Vertex Feature Store
Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company

Minimum Basic Requirements

Python Expertise: Write and maintain Python frameworks and libraries to support data processing and integration tasks.
Code Management: Use Git and GitHub for source control code reviews and version management.
GCP Proficiency: Extensive experience working with GCP services (e.g. BigQuery Cloud Dataflow Pub/Sub Cloud Storage).
Python Mastery: Proficient in Python with experience in writing maintaining and optimizing data processing frameworks and libraries.
Software Engineering: Strong understanding of software engineering best practices including version control (Git) collaborative development (GitHub) code reviews and CI/CD.
Data Management: Deep knowledge of data modeling ETL/ELT and data warehousing concepts.
Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
Communication: Strong communication skills including the ability to explain complex technical details to non-technical stakeholders.
Data Science Stack: Proficiency in data analysis and familiarity with tools such as Jupyter Notebook pandas NumPy and other Python data analysis libraries.
Frameworks/Tools: Familiarity with machine learning and data processing tools and frameworks such as TensorFlow Apache Spark and scikit-learn.
Bachelors or masters degree in computer science Engineering Computer Information Systems Mathematics Physics or a related field or software development training program

Preferred Qualifications

Experience in Scala Java and/or any functional language. We code primarily in Scala so youll be excited to either ramp or continue with such
Experience in microservices architecture messaging patterns and deployment models
Experience in API design and building robust and extendable client/server contracts

Role : Senior Data Engineer - GCP Location : Mountain View CA (Onsite) What youll do Develop and enhance Python frameworks and libraries to support data processing quality lineage governance analysis and machine learning operations. Design build and maintain scalable and efficient data pipelines...

Role : Senior Data Engineer - GCP

Location : Mountain View CA (Onsite)

What youll do

Develop and enhance Python frameworks and libraries to support data processing quality lineage governance analysis and machine learning operations.
Design build and maintain scalable and efficient data pipelines on GCP.
Implement robust monitoring logging and alerting systems to ensure the reliability and stability of data infrastructure.
Build scalable batch pipelines leveraging Big query Dataflow and Airflow/Composer scheduler/executor framework on Google Cloud Platform
Building data pipelines leveraging Scala Pub Sub Akka Dataflow on Google Cloud Platform
Design our data models for optimal storage and retrieval and to meet machine learning modeling using technologies like Bigtable and Vertex Feature Store
Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company

Minimum Basic Requirements

Python Expertise: Write and maintain Python frameworks and libraries to support data processing and integration tasks.
Code Management: Use Git and GitHub for source control code reviews and version management.
GCP Proficiency: Extensive experience working with GCP services (e.g. BigQuery Cloud Dataflow Pub/Sub Cloud Storage).
Python Mastery: Proficient in Python with experience in writing maintaining and optimizing data processing frameworks and libraries.
Software Engineering: Strong understanding of software engineering best practices including version control (Git) collaborative development (GitHub) code reviews and CI/CD.
Data Management: Deep knowledge of data modeling ETL/ELT and data warehousing concepts.
Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
Communication: Strong communication skills including the ability to explain complex technical details to non-technical stakeholders.
Data Science Stack: Proficiency in data analysis and familiarity with tools such as Jupyter Notebook pandas NumPy and other Python data analysis libraries.
Frameworks/Tools: Familiarity with machine learning and data processing tools and frameworks such as TensorFlow Apache Spark and scikit-learn.
Bachelors or masters degree in computer science Engineering Computer Information Systems Mathematics Physics or a related field or software development training program

Preferred Qualifications

Experience in Scala Java and/or any functional language. We code primarily in Scala so youll be excited to either ramp or continue with such
Experience in microservices architecture messaging patterns and deployment models
Experience in API design and building robust and extendable client/server contracts