Data Engineer

Description :

Key Responsibilities :

- Build and maintain ETL processes for data transformation and integration

- Work with Big Data technologies to process large datasets efficiently

- Develop data solutions using Python and SQL

- Implement and optimize data warehousing solutions

- Utilize Apache Spark for distributed data processing

- Collaborate with BI teams to enable reporting and analytics

- Ensure data quality, performance, and reliability of systems

- Work in an Agile environment and collaborate with cross-functional teams

Required Skills :

- 6 - 9 years of experience in Data Engineering

- Strong hands-on experience with Google Cloud Platform (GCP)

- Proficiency in Python and SQL

- Experience with ETL development and data warehousing concepts

- Hands-on experience with Apache Spark

- Good understanding of Big Data ecosystems

- Exposure to Business Intelligence (BI) tools and reporting systems