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Title: Data Integrator – Google Cloud Platform / Big Query / Informatica
Experience Required: 8–10 Years
Location: Denver, KY
Primary Skills (Mandatory)
Analytical SQL
Google Cloud Platform (Google Cloud Platform)
Big Query
Enterprise Data Warehouse
Informatica (PowerCenter / Informatica Cloud)
Unix / Python Scripting
SQL & PL/SQL (Any RDBMS)
Secondary / Good-to-Have Skills
Google Cloud Spanner
Kubernetes
Docker
Netezza
Database Cloud Migration
Bitbucket or other Version Control Tools
SAFe / Agile Methodologies
Job Description
We are looking for a Data Integrator with strong hands-on experience in Google Cloud Platform, Big Query, SQL, and Informatica, along with solid knowledge of Data Warehouse concepts. The role requires working on complex SQL queries, performance tuning, cloud-based data integration, and supporting enterprise-scale data platforms.
Roles & Responsibilities
Design, develop, and maintain complex SQL queries and data warehouse solutions
Analyse simple, complex, and analytical SQL queries
Write and optimize functions, procedures, and SQL for performance improvements
Develop and maintain Informatica workflows (On-Prem / Cloud)
Perform data integration and transformation for structured and unstructured data
Work on database/cloud migrations (Netezza preferred)
Resolve and troubleshoot complex data and performance issues
Apply software development best practices and SDLC principles
Work independently as a technical contributor, planning and executing tasks effectively
Respond to technical queries from team members and business stakeholders
Mentor and guide junior team members when required
Use Bitbucket or other version control tools for source management
Collaborate directly with clients at onsite/offshore as per project requirements
Participate in SAFe / Agile project executions
Cloud & Platform Experience
Hands-on experience with Google Cloud Platform (Google Cloud Platform)
Strong working knowledge of Big Query (OLAP, Columnar DB)
Experience with Kubernetes and Docker on cloud environments
Handling both structured and unstructured datasets