Data Engineer - GCP

Responsibilities

• Assist in developing scalable data pipelines using GCP tools such as Dataflow, BigQuery, Cloud Composer, and Pub/Sub.
• Write and maintain SQL and Python scripts for data ingestion, cleaning, and transformation.
• Support the creation and maintenance of Airflow DAGs in Cloud Composer for orchestration.
• Collaborate with senior data engineers and data scientists to implement data validation and monitoring checks.
• Participate in code reviews, sprint planning, and cross-functional team meetings.
• Help with documentation and knowledge base creation for data workflows and pipeline logic.
• Gain exposure to medallion architecture, data lake design, and performance tuning on BigQuery.
  

Requirements

• 2-4 years of relevant experience in data engineering, backend development, or analytics engineering.
• Strong knowledge of SQL and working-level proficiency in Python.
• Exposure to cloud platforms(GCP preferred; AWS/Azure acceptable).
• Familiarity with data pipeline concepts, version control (Git), and basic workflow orchestration.
• Strong communication and documentation skills.
• Eagerness to learn, take feedback, and grow under mentorship.
  

Bonus Skills

• Hands-on experience with GCP tools like BigQuery, Dataflow, or Cloud Composer.
• Experience with DBT, Dataform, or Apache Beam.
• Exposure to CI/CD pipelines, Terraform, or containerization (Docker).
• Knowledge of basic data modelling and schema design concepts.