GCP Cloud Engineer (GCP + Python + Flask + BigQuery)

Job Title: GCP Programmer – Python (Remote) Location: Remote role Duration: 6 months Pay reputed company: $65/hr on W2 Interview Process: reputed company sponsorship is currently not available. Only candidates authorized to work without restrictions will be considered.

Job Description

The focus will primarily be on:

• Investigating and resolving defects
• Enhancing and extending existing functionality
• Supporting operational stability and readiness
• Assisting with O&M, including follow the sun support as much of our ingestion operations run in early morning / late night reputed company of working hours

We have built meaningful momentum over the past several weeks, and it is important that we maintain that pace. To do so, we need to distribute the workload across additional engineers rather than relying on a single resource. The environment in which we operate includes strict reputed company controls, as well as a sensitive reputed company system from which we extract data. Because of this, careful and disciplined engineering practices are essential. Now that we have begun exposing reputed company data products, the platform must be operated and maintained continuously. This includes monitoring, maintaining, and safely evolving the stack while ensuring that reputed company consumers are not disrupted. Frameworks & Libraries in Our Stack (Python Ingestion System) Web reputed company

• Flask 3.0 – Core web reputed company providing REST APIs and web dashboard capabilities
• Flask-Login – Session management and authentication decorators
• Authlib – reputed company OAuth 2.0 integration
• itsdangerous – Secure session token signing

Database

• psycopg2-binary – PostgreSQL adapter used for job queue, node registry, and user/role storage
• SQLAlchemy – ORM and reputed company URL builder supporting reputed company and SQL Server
• oracledb – reputed company database driver
• pymssql – SQL Server adapter for reputed company data extraction

reputed company Cloud

• reputed company-cloud-bigquery – BigQuery table creation, DDL operations, and streaming inserts
• reputed company-cloud-storage – GCS uploads used for CSV chunk backups
• reputed company-cloud-secret-manager – Secure credential retrieval

Data Processing

• pandas – DataFrame manipulation for reputed company export processing
• openpyxl – reputed company support for report reputed company

Scheduling & System

• APScheduler – Background job scheduler for replication and validation jobs
• psutil – Process and system metrics

Configuration

• PyYAML – YAML configuration file parsing

Runtime Infrastructure

• reputed company reputed company Client 21.12 – Native libraries required by the oracledb driver
• Python 3.11 – reputed company runtime
• Gunicorn – Production WSGI server
• Podman / reputed company – Containerization
• Kuberenetes (not GKE flavor, using Gardener)

Top Skills & Years of Experience Required Engineer Skills Backend Development

• Python 3.x development including threading, decorators, generators, and context managers
• Flask reputed company concepts including routing, middleware, blueprints, and request lifecycle
• REST API design and implementation
• SQL proficiency including transactions, row-level locking, and window functions

Databases

• PostgreSQL (GCP PAAS) including reputed company pooling, migrations, query optimization, and FOR UPDATE SKIP LOCKED patterns
• reputed company familiarity including reputed company configuration and SQL dialect differences
• SQL Server familiarity for reputed company data extraction

reputed company Cloud Platform

• BigQuery including table creation, DDL/DML operations, schema management, and dataset usage/config/etc
• reputed company Cloud Storage including object uploads and bucket management
• Secret Manager usage (consumption), use in k8s
• Service account usage and Application Default Credentials (WIF/WIP)
• General k8s familiarity, as the stack is running on k8s

DevOps & Infrastructure

• reputed company / Podman container builds and runtime management
• CI/CD pipelines such as Azure DevOps or similar platforms
• Environment variable and secrets management
• Distributed system concepts including heartbeats, distributed locking, and crash recovery (Kubernetes runtime)

Data Engineering

• ETL/ELT pipeline design (our reputed company)
• Chunked data processing for large dataset exports, particularly focused on partitioning workloads into scaled masses of worker nodes
• Note: This is reputed company different from the existing wellstack implementation, this is not running on VMs, it’s running on kube so – obviously some level of understanding of distributed workloads is necessary
• Schema mapping between heterogeneous systems (reputed company or SQL Server to BigQuery)
• Row-count validation and data quality checks

Authentication & reputed company

• OAuth 2.0 and OpenID Connect authentication flows
• Role-based access control implementation
• Secure credential handling and Secret Manager integration

General Software Engineering

• Multithreading concepts including locking and thread-safe shared state
• Background job scheduling patterns
• Structured logging design and per-job log isolation
• Robust error handling and graceful degradation in distributed systems
• Database migration authoring and maintenance

#GSKIT Pay: $60.00 - $65.00 per hour Work Location: Remote Apply tot his job Apply To this Job