Job Title:  Technology and Transformation - EAD - Engineering - Senior Consultant -GCP

We are seeking a skilled and proactive GCP Data Engineer with 3–5 years of experience to join our data engineering team. The ideal candidate will have hands-on experience designing, developing, and maintaining robust and scalable data pipelines on Google Cloud Platform (GCP). You will collaborate with cross-functional teams to enable data-driven decision-making through efficient data solutions.

Key Responsibilities:

• Design and implement scalable and efficient data pipelines using GCP services such as:
• BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer (Airflow)
• Develop and maintain ETL/ELT processes to ingest, transform, and load structured and semi-structured data
• Optimize query performance in BigQuery and manage cost-effective data architecture
• Work with stakeholders to gather data requirements and translate them into technical specifications
• Implement data quality checks, monitoring, and error handling mechanisms
• Manage and automate workflows using Cloud Composer
• Collaborate with data analysts, scientists, and business teams to deliver clean and reliable data
• Ensure data security, compliance, and governance across the pipelines

Required Skills:

• 3–5 years of hands-on experience in data engineering roles
• Strong experience with Google Cloud Platform (GCP), especially BigQuery, Cloud Storage, and Dataflow
• Proficient in SQL and Python for data processing and automation
• Experience with Airflow (Cloud Composer) for orchestrating workflows
• Good understanding of data modeling, data warehousing, and ETL best practices
• Familiarity with CI/CD pipelines and Git-based version control
• Problem-solving mindset with the ability to work independently and collaboratively