Independent Contractor

Date: Jun 5, 2025
- Job Requisition Id: 61507
- Location: Bangalore, KA, IN Bangalore, KA, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

**We are looking forward to hire SnowFlake Professionals in the following areas**:
**Experience required**: 3-5 years.
- 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.

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.

**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.

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. |

**Work Experience**
- Overall 3-5 years 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.

At YASH, you are empowered to create a career that will take you to where you want to go while work