GCP Data Engineer

Responsibilities

• Design, create, code, and support a variety of data pipelines and models on GCP cloud technology
• Strong hand-on exposure to GCP services like BigQuery, Composer etc.
• Partner with business/data analysts, architects, and other key project stakeholders to deliver data requirements.
• Developing data integration and ETL (Extract, Transform, Load) processes.
• Support existing Data warehouses & related pipelines.
• Ensuring data quality, security, and compliance.
• Optimizing data processing and storage efficiency, troubleshoot issues in Data space.
• Seeks to learn new skills/tools utilized in Data space (ex: dbt, MonteCarlo etc.)
• Excellent communication skills- verbal and written, Excellent analytical skills with Agile mindset.
• Demonstrates strong affinity towards paying attention to details and delivery accuracy.
• Self-motivated team player and should have ability to overcome challenges and achieve desired results.
• Work effectively in Global distributed environment.
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
• 3–5+ years of hands-on experience in Data Engineering or Data Warehousing roles.
• At least 2 years specifically focused on Google Cloud Platform (GCP).
• Expert-level knowledge of BigQuery (SQL, optimization, partitioning) and Cloud Composer (Apache Airflow) for orchestration.
• Proficiency in Python (specifically for ETL and Airflow DAGs) and advanced SQL.
• Strong experience in designing Star/Snowflake schemas and dimensional modeling.
• Proven track record of building and maintaining scalable data pipelines and managing data integration from diverse sources.
• Experience implementing data validation, cleansing, and security protocols (IAM, encryption).