About the Role:

We are seeking a skilled Data Engineer with strong GCP (Google Cloud Platform) expertise to design, develop, and maintain scalable data pipelines and infrastructure. The ideal candidate will play a key role in managing large-scale data processing and transformation workflows that support business intelligence, analytics, and machine learning initiatives.

Key Responsibilities:

• Design and implement scalable, reliable data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.).
• Build and maintain data ingestion frameworks to extract, transform, and load data from various structured and unstructured sources.
• Work closely with data analysts, scientists, and stakeholders to understand data requirements and ensure data availability.
• Monitor data quality, performance, and reliability, and implement necessary improvements.
• Optimize SQL queries and ETL jobs for performance and cost-efficiency in GCP.
• Ensure data security, compliance, and governance standards are met.
• Automate and schedule data workflows using tools like Cloud Composer (Apache Airflow).
• Participate in code reviews, documentation, and CI/CD for data solutions.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3–6 years of experience in data engineering or a related role.
• Strong hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub, etc.).
• Proficiency in SQL, Python, or Java for data processing.
• Experience with ETL tools and orchestration frameworks (e.g., Apache Airflow).
• Understanding of data modeling, warehousing concepts, and performance tuning.
• Familiarity with CI/CD, Git, and DevOps practices.

Preferred Qualifications:

• GCP Data Engineer certification is a strong plus.
• Experience with Terraform or Infrastructure as Code (IaC) for GCP.
• Knowledge of stream processing (e.g., Apache Beam or Kafka).
• Familiarity with data privacy regulations (e.g., GDPR, HIPAA).
• Exposure to BI tools like Looker or Data Studio.