16 Sep
|
Hirexa Solutions
|
India
16 Sep
Hirexa Solutions
India
Job DescriptionGCP Data Engineer (Big
Query) — Chennai Location: Chennai (Full-Time, On-Site) Experience: 7–12 Years ⏳ Notice Period: Immediate to 30 Days About the Role We are looking for an experienced GCP Data Engineer with robust hands-on expertise in Big
Query to join our team in Chennai on a full-time, on-site basis.
The ideal candidate will design, build, and optimize scalable data pipelines and warehousing solutions on Google Cloud Platform, enabling data-driven decision-making across the organization.
Key Responsibilities Design, develop, and maintain robust ETL/ELT pipelines on GCP Build and optimize data models and queries in Big
Query for performance and cost efficiency Work with large-scale structured and unstructured datasets Implement data ingestion frameworks using Dataflow, Dataproc, Pub/Sub, and Cloud Composer (Airflow) Develop and manage event-driven workflows using Cloud Functions Collaborate with data analysts, scientists, and business stakeholders to understand data requirements Ensure data quality, integrity,
and governance across pipelines Monitor, troubleshoot, and optimize existing data infrastructure Implement best practices for security, scalability, and performance on GCP Document data architecture, pipelines, and processes Required Skills & Qualifications 7–12 years of overall experience in Data Engineering Strong experience in Google Cloud Platform (GCP) Hands-on expertise in: Big
Query Cloud Composer (Airflow) Dataflow Dataproc Pub/Sub Cloud Storage Cloud Functions Proficiency in SQL and at least one programming language (Python/Java/Scala) Strong understanding of data warehousing concepts, data modeling, and ETL/ELT design Experience working with large-scale datasets and performance tuning in Big
Query Good understanding of data governance, security, and compliance practices Excellent problem-solving and communication skills Notice Period: Immediate joiners to 30 days preferred
📌 GCP Data Engineer (India)
🏢 Hirexa Solutions
📍 India