Job Description

Job Description
Job Summary:
We are seeking an experienced Data Engineer (GCP) to design, build, and maintain scalable, high-performance data solutions on Google Cloud Platform. The ideal candidate will have strong expertise in BigQuery, Apache Airflow, SQL, and Python or Java, with a proven ability to develop robust data pipelines that support analytics and business intelligence initiatives.

Key Responsibilities
  • Design, develop, and optimize scalable data pipelines on Google Cloud Platform (GCP).
  • Build and manage data solutions using BigQuery for large-scale data processing and analytics.
  • Orchestrate and schedule workflows using Apache Airflow.
  • Develop data processing logic using Python or Java.
  • Write optimized and complex SQL queries for data transformation and reporting.
  • Ensure data quality, performance, security, and reliability across data systems.
  • Collaborate with data scientists, analysts, and business stakeholders to support data-driven initiatives.
  • Troubleshoot data issues and continuously improve pipeline efficiency and scalability

Required Skills & Qualifications:

  • 6-8 Years of experience with Data Engineer
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expertise in BigQuery for data warehousing and analytics.
  • Experience with Apache Airflow for workflow orchestration.
  • Proficiency in Python or Java for data engineering tasks.
  • Strong SQL skills for data modeling and transformations.
  • Solid understanding of ETL/ELT processes, data architecture, and cloud-native data platforms.

Preferred Skills:
  • Experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, or Composer.
  • Knowledge of data governance, monitoring, and performance tuning on cloud platforms.


Requirements
MS Fabric, SQL, Python

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