Modeling Engineer developing software for system - level modeling of communication systems. Collaborating with architects and design teams in a semiconductor company focused on innovation.
About the role
- Senior Data Engineer responsible for designing and developing big data solutions on GCP cloud. Working on transformation and modernization of data products with Google's cloud services.
Responsibilities
- Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment of Data Platform.
- Implement methods for automation of all parts of the pipeline to minimize labor in development and production.
- Identify, develop, evaluate, and summarize Proof of Concepts to prove out solutions.
- Test and compare competing solutions and report out a point of view on the best solution.
- Experience with large scale solutioning and operationalization of data warehouses and analytics platforms on GCP.
- Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, DataProc, SQL, Compute Engine, Cloud Functions.
- Orchestration tools like Apache Airflow.
- Build new/enhance data products in GCP.
Requirements
- Minimum 5 Years of Experience in Java/python in-depth
- Minimum 5 Years of Experience in data engineering pipelines/ building data warehouse systems with ability to understand ETL/ELT principles and write complex sql queries.
- Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Google Cloud Storage, PubSub, Data Fusion, Dataproc
- Minimum 2 years of experience in development using Data warehousing, Big Data
- 3 Years of experience deploying google cloud services using Terraform
- Bachelors or masters in required field
- Experience working with AI/LLM models, leveraging Generative AI
- Understands data architectures and design independent of the technology
- Experience with Big Query, SQL
- Experience with Python, Apache Airflow
- Exceptional problem solving and communication skills and management of multiple stakeholders
- Experience in working with Agile and Lean methodologies
- Experience with Test-Driven Development
- Exposure to AI/LLM
Benefits
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child-care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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