Job Title:  Consultant | GCP Data Engineer | Mumbai | Engineering

Experience

• 3+ years of hands-on experience in designing, developing, and maintaining data pipelines on Google Cloud Platform (GCP).

Key Responsibilities

• Design, develop, and maintain batch and streaming data pipelines on GCP.
• Build data solutions using BigQuery, Cloud Storage, Dataflow, Dataproc, and Cloud Composer (Airflow).
• Work with GCP databases including Cloud SQL, Bigtable, Spanner, and AlloyDB under guidance.
• Develop data processing logic using SQL and at least one programming language (Python, Java, or Scala).
• Orchestrate data workflows using Cloud Composer / Apache Airflow.
• Participate in CI/CD pipeline implementation using tools such as Git, Jenkins, SonarQube, Artifactory, and Docker.
• Support data and application migration projects, including on‑premises to cloud and cloud‑to‑cloud migrations.
• Implement data quality checks, validation rules, and basic monitoring.
• Apply GCP best practices for performance, reliability, and cost optimization.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Troubleshoot and resolve data pipeline and performance issues.
• Document solutions, data flows, and operational procedures.

Required Skills

• Hands-on experience with GCP data services
• Strong SQL skills
• Proficiency in Python / Java / Scala
• Understanding of data modeling, data warehousing, and big data concepts
• Familiarity with DevOps and CI/CD practices
• Good communication and collaboration skills

Preferred Qualifications

• Google Cloud Certified – Professional Data Engineer
• Exposure to streaming architectures (Pub/Sub, Dataflow streaming)
• Experience working in Agile delivery teams