Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs
Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements
Should have good hands on with GCP technologies like : BigQuery, DataProc and other services of GCP.
Have good working knowledge of SQL and data evaluation tools.
Collaborates in design reviews and testing, and provides production environment support with guidance from peers and leaders
Completes work reviews and fosters a collaborative learning environment with guidance from peers and leaders
Communicates and collaborates with business and product teams to facilitate changes and implementation
Completes Big Data/Spark and Other distributed frameworks requirements by implementing basic partitioning and indexing solutions
Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives