Job Description               :               | * Snowflake Architecture and Administration: Demonstrate a deep understanding of Snowflake

architecture, including compute and storage management. Illustrate the administrative tasks involved in managing Snowflake accounts, optimizing performance, and ensuring fail-safe operations.

* Snowflake Utilities and Features: Hands-on experience with Snowflake utilities, such as Snow SQL, Snow pipe, and time travel, is essential. Proficiency in writing stored procedures, using Snowflake functions, and managing tasks will be required.

* Data Engineering Expertise: Exhibit expertise in engineering platform components like data pipelines, data masking, data orchestration, data quality, data governance, and analytics within the Snowflake environment.

 * Load Operations and Performance: Review and implement Snowflake best practices for managing load operations and optimizing performance to ensure efficient data processing.

 * Data Security and Governance: Describe data governance in Snowflake, including the use of secure views and dynamic data masking features for column-level data security. Design and develop secure access to objects using Role-Based Access Control (RBAC).

 * Data Sharing and Replication: Utilize data replication for sharing data across accounts securely and managing failover scenarios.

* Large-Scale Data Intelligence: Demonstrate hands-on experience in implementing large-scale data intelligence solutions around Snowflake data warehousing. Knowledge of scripting languages like Spark, Py-Spark, Snowpark, or SQL is highly desirable.

 * Performance Tuning: Implement advanced techniques for performance tuning methodologies in Snowflake to optimize query performance and reduce data processing time.

* Collaboration and Leadership: Work collaboratively with cross-functional teams to understand data requirements and contribute to the data engineering strategy. Provide technical leadership and mentorship to junior team members.| |

|h2. Strategic Impact| |

|·        Impacts the effectiveness of own works team through the quality and timeliness of the work produced.

·        Largely works within standardized procedures and practices to achieve objectives and meet deadlines and gains some discretion in problem solving.

 | |

|h2. Scope of People Responsibility| |

| * Manages own workload effectively and efficiently.

 * Expands technical contribution and encourage knowledge management and promote the cross-fertilization of ideas and information between teams.

 * Foster Snowflakes & other developers to grow and mentor to help ensure overall solutions are delivered on timely manner.

 * Provides training for members of the team and ensures team effectiveness.

 * May provide informal guidance and support to colleagues with less experience.| |

|h2. Cooperation| |

|·        Communicates difficult concepts and negotiates with others to adopt a different viewpoint.

·        Fostering accountability throughout the team to uphold strong governance in the form of standards, methodology and requirements.

·        Demonstrates the ability to work as a team member on a project and can effectively work with a larger global team.|h2.  |

|Candidate’s Profile| |

|h2. Work Experience| |

| * Overall, 3-5 year of experience in IT

 * Bachelor's or master's degree in computer science, Information Technology, or a related field.

 * Extensive experience working with Snowflake data warehousing technology, including hands-on experience with various Snowflake utilities and features.

 * Proficiency in SQL and scripting languages such as Spark, PySpark, Python or Snowpark.

 * Strong knowledge of data engineering concepts, data integration, and ETL processes.

 * Familiarity with data governance principles, data security, and RBAC.

 * Excellent understanding of data replication and data sharing across accounts.

 * Proven experience in performance tuning and optimization of Snowflake queries.

 * Exceptional problem-solving skills and ability to address complex data engineering challenges.

 * Excellent communication and leadership skills with a collaborative mindset.

 * Ability to manage multiple accounts across the organization and ensure smooth operations.

 * Knowledge of transaction and concurrency models, DDL operations, and DML considerations in Snowflake.| |