Data Engineer

Experience:8+ years of experience as a Data Engineer or similar role, working with data pipelines, ETL processes, and cloud technologies.Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Storage, and Pub/Sub.Proficiency in writing complex SQL queries and optimizing them for large datasets.Experience with ETL tools and processes to transform and integrate data from multiple sources.Strong understanding of data warehousing concepts, database design, and data modeling.Technical Skills:Advanced knowledge of SQL for querying, analyzing, and manipulating data.Experience with Python, Java, or other programming languages for data processing tasks is a plus.Familiarity with GCP’s IAM policies, data security, and cost management.Experience with Airflow or other orchestration tools to automate workflows.Strong understanding of ETL frameworks, data lakes, and data warehousing solutions.Knowledge of version control systems like Git and CI/CD pipelines.