Data Engineer

Freelance Requirements: Data Engineer (GCP | Databricks | BigQuery | Pub/Sub | Airflow) Type: Part-Time / Freelance Time Commitment: 10 hours per week (flexible) Compensation: Hourly (fixed) 🔹 Key Responsibilities Design and develop scalable ETL/ELT pipelines on GCP Build and manage data workflows using Apache Airflow (Cloud Composer preferred) Implement real-time data ingestion using Google Pub/Sub Develop and optimize data models in BigQuery Work with Databricks for large-scale data processing and transformation Ensure data quality, performance optimization, and cost efficiency Collaborate with analytics and business teams to understand data requirements Maintain documentation and follow best practices in data governance 🔹 Required Skills 5+ years of experience in Data Engineering Strong hands-on experience with: Google Cloud Platform (GCP) BigQuery Pub/Sub Databricks (Spark, PySpark) Apache Airflow Strong SQL and Python skills Experience in building batch and real-time pipelines Understanding of data warehousing concepts Experience with Git and CI/CD pipeline Whatsapp +91 9884442684