What are the responsibilities and job description for the GCP Data Engineer position at Innovim Technology Solutions?
We are looking for GCP Data Engineer profiles for Hybrid to Miami, FL.
We are seeking a highly skilled GCP Data Engineer to join our data engineering team. The ideal candidate will have deep expertise in Google Cloud Platform (GCP) services and a strong background in big data processing, data pipeline development, and cloud-based data architecture. This role will focus on designing, implementing, and maintaining scalable data solutions to support analytics and business intelligence.
Key Responsibilities :
Design, develop, and maintain data pipelines using GCP services such as BigQuery, Dataflow, Pub / Sub, Cloud Composer, and Cloud Storage.
Optimize and manage large-scale data processing and ETL workflows.
Implement data modeling and warehousing solutions using BigQuery and related tools.
Ensure data quality, reliability, and efficiency through robust testing and validation mechanisms.
Collaborate with data scientists, analysts, and application teams to understand data requirements and deliver scalable solutions.
Optimize database performance and query tuning in BigQuery.
Manage security, access control, and compliance for data infrastructure.
Automate infrastructure deployments using Infrastructure-as-Code (IaC) with Terraform or similar tools.
Monitor and troubleshoot data workflows, ensuring high availability and reliability.
Required Qualifications :
8 years of experience as a Data Engineer with expertise in GCP.
Proficiency in SQL and Python for data processing and automation.
Hands-on experience with GCP services such as BigQuery, Dataflow, Cloud Storage, Pub / Sub, and Cloud Composer.
Strong understanding of ETL / ELT workflows and best practices.
Experience with Apache Beam, Spark, or other distributed data processing frameworks.
Familiarity with data governance, security best practices, and compliance standards.
Experience with CI / CD pipelines and automation tools for cloud-based deployments.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Preferred Qualifications :
Google Cloud Professional Data Engineer Certification.
Telecom Domain
Experience with Customer 360, Customer Data Platform
Experience working in agile development environments.
