Snowflakes Dev 1

1 day ago


Bengaluru Karnataka, India Marlabs Full time

**Date**:Jan 24, 2025

**Location**:Bangalore, IN

**Company**:Marlabs Innovations Pvt Ltd

**Description**:

- 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. |
- |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.| |


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