Requirements

GCP,Data Integration,SQL,Python,

CON_W2

7+ Years

Responsibilities

Design, develop, and implement scalable data pipelines and associated processes using Google Cloud Platform (GCP) services
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
Build and maintain data architecture to support the new data product
Optimize and enhance data processing workflows for performance, reliability, and scalability
Ensure data quality, integrity, and security throughout the data lifecycle
Monitor and troubleshoot data pipelines and systems to ensure smooth operation
Document technical specifications, processes, and workflows for future reference and knowledge sharing

Qualifications

Experience
- Realtime and batch data integration development experience using GCP services
- Experience extracting, transforming, and loading data from various types of sources
- Demonstrated ability to lead projects and teams, with experience as a technical lead or similar leadership role
- Preferred: financial services industry experience
Technical skills
- SQL
- Google BigQuery
- Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.)
- Google Cloud Composer
- Google Cloud Run
- GitHub
- Python
- Teraform

Preferred

DBT Open Source
Google Pub/Sub
Salesforce data integration experience
Oracle/SQL server data integration experience
Soft Skills
- Exceptional communication and interpersonal skills, with the ability to engage and influence business stakeholders
- Strong personality and polished presence, capable of driving collaboration and alignment across teams
- Thought leadership and ability to inspire teams and stakeholders in data transformation initiatives
Work Environment
- Familiarity with Agile methodologies, including participation in daily stand-ups and iterative development cycles
- Ability to work effectively in a fast-paced, collaborative prefer