Sr. Software Engineer - MS SQL

Date: Sep 22, 2025

Job Requisition Id: 62686

Location:

Pune, IN Indore, IN Hyderabad, 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 MS SQL Professionals in the following areas :

Experience

--------------

5-7 Years

Job Description

-------------------

Job Summary

We are looking for a highly skilled SQL Developer with strong expertise in writing and optimizing complex SQL queries and building robust ETL pipelines. Experience with Snowflake and Azure Data Factory (ADF) is a plus. The candidate will play a key role in designing, developing, and maintaining scalable data solutions to support business intelligence and analytics.

Key Responsibilities

SQL Development

• Write, optimize, and maintain complex SQL queries, stored procedures, functions, and triggers.
  

• Perform query performance tuning and troubleshoot slow-running queries.
  

• Design and implement data models, indexes, and partitioning strategies for large datasets.
  

• Ensure data integrity and consistency across multiple systems.
  

ETL Development

• Design, develop, and maintain ETL workflows for data extraction, transformation, and loading from multiple sources.
  

• Implement data quality checks, error handling, and logging in ETL processes.
  

• Optimize ETL jobs for performance and scalability.
  

• Work with Azure Data Factory (ADF) or similar tools to orchestrate data pipelines.
  

Snowflake & Cloud Integration

• Develop and manage Snowflake data warehouse solutions including schema design and performance tuning.
  

• Integrate data from on-premises cloud sources into Snowflake.
  

• Leverage cloud-based services for data storage processing.
  

Collaboration & Documentation

Required Skills & Qualifications

• Strong proficiency in SQL (advanced query writing, optimization, indexing, and performance tuning).
  

• Hands-on experience with ETL concepts, data integration, and transformation techniques.
  

• Experience with relational databases (e.g., SQL Server, Snowflake).
  

• Experience with Snowflake (data warehousing, query optimization).
  

• Strong understanding of data modeling and normalization.
  

• Excellent problem-solving and analytical skills.
  

• Work closely with engineers, analysts, and business teams to understand requirements.
  

• Document technical designs, workflows, and best practices.
  

Good to Have

• Familiarity with Azure Data Factory (ADF) or other orchestration tools.
  

• Knowledge of cloud platforms (Azure preferred)
  

Required Technical/ Functional Competencies

-----------------------------------------------

Domain/ Industry Knowledge:

• Basic knowledge of customer's business processes- relevant technology platform or product.
  
• Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
  

Requirement Gathering and Analysis:

• Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies.
  
• Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement.
  

Product/ Technology Knowledge:

• Working knowledge of technology product/platform standards and specifications.
  
• Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
  
• Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.
  

Architecture tools and frameworks:

• Basic knowledge of architecture Industry tools & frameworks
  
• Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development.
  

Architecture concepts and principles:

• Basic knowledge of architectural elements, SDLC, methodologies.
  
• Able to apply various architectural constructs in the projects and identify various architectural patterns and implement.
  

Analytics Solution Design:

• High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.
  

Tools & Platform Knowledge:

• Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.
  

Required Behavioral Competencies

------------------------------------

Accountability:

• Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.
  

Collaboration:

• Participates in team activities and reaches out to others in team to achieve common goals.
  

Agility:

• Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.
  

Customer Focus:

• Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.
  

Communication:

• Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.
  

Drives Results:

• Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.
  

Certifications

------------------

Good To Have

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