Job description: • Data Engineer (Python + GCP) Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines. Optimize and automate data ingestion, transformation, and storage processes. Work with structured and unstructured data sources, ensuring data quality and consistency. Develop and maintain data models, warehouses, and databases. Ensure data security, privacy, and compliance with industry standards. Troubleshoot and resolve data-related issues in a timely manner. Monitor and improve system performance, reliability, and scalability. • What you will need: Strong programming skills using python. 5+ years of experience in data engineering, ETL development, or a related role. Proficiency in SQL and experience with relational (PostgreSQL, MySQL, etc.) and NoSQL (DynamoDB, MongoDB etc…) databases. Proficiency in building data pipelines in Google cloud platform(GCP) using services like DataFlow, Cloud Batch, BigQuery, BigTable, Cloud functions, Cloud Workflows, Cloud Composer etc... Strong understanding of data modeling, data warehousing, and data governance principles. Should be capable of mentoring junior data engineers and assisting them with technical challenges. Familiarity with containerization and orchestration (Docker, Kubernetes). Experience with version control systems (Git) and CI/CD pipelines. Excellent problem-solving skills and ability to work in a fast-paced environment. • Excellent communication skills. Hands-on experience with snowflake is a plus. Experience in AWS is a plus. Education and Experience Bachelor’s degree in Computer Science, Information Systems, Information Technology, or a similar major or Certified Development Program 5+ years of experience building data pipelines using python & GCP (Google Cloud platform).