Sr. Software Engineer Snowflake

Year    IN, India

Job Description

Date: Jan 13, 2026
Job Requisition Id: 63692
Location:
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 :






Job description:






Experience required: 4-6 years






Requirements :






Skillset:



Snowflake, SQL, Data Analytics -

Mandatory

Fabric

Nice to Have


ETL tool like Talend or similar -

Preferred







Role Definition:



Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.





Responsibilities


Direct the data gathering, data mining, data processing and data modelling for large datasets including the processing, cleansing, and verification of datasets used for analysis.

Lead requirement definition and scope of data analyses, presenting and reporting possible business insights to management using data visualization technologies.

Conduct research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

Use knowledge of statistical approaches, data management techniques, and/or related digital technologies to complete projects.

Conduct technical analysis of new requests from internal customers to gather requirements, analyse, and convert into technical requirements for optimal coding structure for technical development.

Research and apply new methods and digital technologies to exceed customer expectations.




Background/Relevant Experience :


Bachelor's degree with minimum of 4-6 years' Relevant Experience in Data Analytics.

The applicant must have employment Relevant Experience with Power BI, Tableau , Power Automate, Power App, snowflake, SQL, Python & Data Visualization.

Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization

Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.

Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyse and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.




Skill Descriptors



Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.



Level Basic Understanding:


Identifies and describes basic statistical measures.

Summarizes the underlying uncertainties associated with statistical analysis and reporting.

Describes the relationship between statistical measurement and continuous improvement.

Cites examples and meaning of statistics used in own area.




Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.



Level Working Knowledge:


Accurately gauges the impact and cost of errors, omissions, and oversights.

Utilizes specific approaches and tools for checking and cross-checking outputs.

Processes limited amounts of detailed information with good accuracy.

Learns from mistakes and applies lessons learned.

Develops and uses checklists to ensure that information goes out error-free.




Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.



Level Basic Understanding:


Names specific tools or techniques that can be used to support the analytical thinking process.

Describes specific software applications or products used for business analytics.

Gives examples of how analytical thinking has been used to resolve problems.

Helps others research and learn more about business analytics tools and applications.




Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.



Level Basic Understanding:


Explains the definition and objectives of machine learning.

Describes the algorithms and logic of machine learning.

Distinguishes between machine learning and deep learning.

Gives several examples on the implementation of machine learning.




Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.



Level Basic Understanding:


Describes the basic concepts of programming and program construction activities.

Uses programming documentation including program specifications in order to maintain standards.

Describes the capabilities of major programming languages.

Identifies locally relevant programming tools.




Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.



Level Basic Understanding:


Identifies query facilities that are available in one's own environment.

Explains organization's standards, procedures and practices for building queries.

Describes the functions and features of query and database access tools.

Identifies the key benefits and drawbacks of query languages.




Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.



Level Working Knowledge:


Follows policies, practices and standards for determining functional and informational requirements.

Confirms deliverables associated with requirements analysis.

Communicates with customers and users to elicit and gather client requirements.

Participates in the preparation of detailed documentation and requirements.

Utilizes specific organizational methods, tools and techniques for requirements analysis.



At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.




Our Hyperlearning workplace is grounded upon four principles




Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, * Stable employment with a great atmosphere and ethical corporate culture

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Job Detail

  • Job Id
    JD5110224
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    IN, India
  • Education
    Not mentioned
  • Experience
    Year