Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.
Develop and optimize data solutions using Snowflake, DataStage, and dbt.
Design data warehouses, data models, schemas, and transformation processes.
Build and maintain complex SQL queries, stored procedures, and data transformation logic.
Work with AWS data services, including Aurora, RDS, DMS, and DynamoDB.
Develop and support data integration solutions involving Oracle, PL/SQL, and SQL.
Perform data migration, integration, transformation, and validation activities.
Optimize Snowflake queries, workloads, and data processing for performance and scalability.
Collaborate with business and technical stakeholders to understand data requirements.
Lead requirement gathering, solution design, technical discussions, and estimations.
Provide technical guidance to data engineering teams and review technical solutions.
Troubleshoot data pipeline, ETL, database, and production issues.
Ensure data quality, reliability, security, and performance across data platforms.
Participate in architecture discussions and recommend appropriate data engineering solutions.