Job Title

Skills- Snowflake Architect /Lead Developer Location - Bangalore/Hyderabad Experience-7 to 15 yearsJob Description Key Roles & Responsibilities Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers. Strong experience with building productionized data ingestion and data pipelines in Snowflake Good knowledge of Snowflake's architecture, features likie Zero-Copy Cloning, Time Travel, and performance tuning capabilities Should have good exp on Snowflake RBAC and data security. Strong experience in Real-time and batch data processing using Snowflake features. Should have good experience in Python/Pyspark. Exposure to any hyperscale’s like AWS services (S3, Glue, Lambda, Secrete Manager, DMS), Google Cloud(GCS, BigQuery, DataFlow, DataProc) and Azure services (Blob storage, ADLS, ADF) Should have experience/knowledge in orchestration and scheduling tools experience like Airflow Should have good understanding on ETL or ELT processes and ETL tools. Building Snowflake data pipelines analytical workflows on unstructured data, develop agentic apps, and train models using both structured and unstructured data Explore new opportunities and implement plans. CoE focusing on some of the emerging technologies around manageability including adoption of Data Observability, API utilization, AI/AgenticAI using SnowflakeProfile Requirement: 6-7 years of IT development experience with min 3+ years hands-on experience in Snowflake Good understanding on various data and cloud [Azure, AWS ,GCP etc.,] technologies Good working experience on Python, Java on Linux environment Understanding of AI/GenAI Concepts is an added advantage Previous experience of supporting RFPs/RFQs/RFPs is an added advantage Strong Communication & Presentation skills to handle end to end delivery. Self-motivated and eager to learn and Coordinate and Collaborate Team player Positive attitude and knowledge pool building skills. Data migration Knowledge, data estate modernization and data management skills