GCP data engineerDatabricks

Description We are seeking an experienced GCP Data Engineer with expertise in Databricks to join our dynamic team in India. The ideal candidate will have a robust background in data engineering, capable of designing and building scalable data solutions on Google Cloud Platform. This role requires collaboration with cross-functional teams to deliver high-quality data pipelines and maintain data integrity. Responsibilities - Design and implement scalable data pipelines on Google Cloud Platform (GCP) using Databricks. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Optimize and maintain existing data workflows and ETL processes for performance and reliability. - Develop and manage data models, data architecture, and data governance policies. - Monitor and troubleshoot data pipeline issues to ensure data integrity and availability. - Create documentation for data systems and processes for future reference and compliance. Skills and Qualifications - 10-15 years of experience in data engineering, with a focus on GCP and Databricks. - Proficiency in SQL and experience with data modeling techniques. - Strong programming skills in Python, Scala, or Java. - Experience with big data technologies such as Apache Spark, Apache Kafka, or similar. - Knowledge of data warehousing solutions and ETL processes. - Familiarity with cloud services (GCP specifically) and data storage solutions (e.g., BigQuery, Cloud Storage). - Experience with version control systems like Git and CI/CD pipelines. - Strong problem-solving skills and ability to work independently as well as in a team. Skills: Data Modeling, Apache Spark, Gcp, Cloud Architecture, Data Warehousing, Sql, BigQuery, Databricks, Python Experience: 10.00-15.00 Years