Applications Development Module Lead
Core
Design, build, and deploy reliable and scalable data engineering solutions on Google Cloud Platform (GCP), including custom pipelines and migrating on-prem data to the GCP stack.
Role type
Lead GCP Data Engineer
Builds
Custom-built data pipelines, modular ingestion frameworks, and migrated on-prem data solutions for the company's data landscape.
Domain
Telecommunications / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, PySpark, GCP Data Warehousing, CI/CD, Docker, Pulumi, Cloud Build, Cloud SDK, BigQuery, GCP Workflows, Cloud Scheduler, Secret Manager, Batch, Cloud Logging, Google Cloud Storage, IAM, Dataproc, Dataflow
Preferred skills
GCP Certified Data Engineer
Technologies
Google Cloud Platform (GCP), BigQuery, GCP Workflows, Cloud Scheduler, Secret Manager, Batch, Cloud Logging, Cloud SDK, Google Cloud Storage, IAM, Dataproc, Dataflow, Pulumi, Github, Cloud Build, Docker
Responsibilities
Design, build, and deploy internal applications to support technology life cycle and service delivery; Build modular code for multi-usable pipelines and complex ingestion frameworks to load data into Datalake or Data Warehouse; Work closely with analysts and business process owners to translate business requirements into technical solutions; Maintain highest levels of development practices including technical design, solution development, systems configuration, and test documentation/execution.
Seniority
Lead, hands-on IC with mentorship
