Sr. Software Engineer - SQL Job

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 SQL Professionals in the following areas :

Job Description:

We are seeking a highly skilled Data Engineer with 5 to 8 years of experience to join our growing data team. The ideal candidate will have strong expertise in Azure technologies and advanced Python programming skills. This role involves designing, building, and optimizing data pipelines, ensuring data security, and enabling analytical capabilities across the organization.

 In this Role, Your Responsibilities Will Be:

• Develop, test, and maintain high-quality software products by using cutting-edge technologies and best programming practices.
• Design, develop, and maintain scalable and high-performance data pipelines using Azure Data Factory, Azure Synapse Analytics, and other Azure services.
• Develop and maintain ETL/ELT processes to ensure the quality, consistency, and accuracy of data.
• Implement data integration solutions across on-premise, hybrid, and cloud environments.
• Ensure the security, availability, and performance of enterprise data platforms.
• Work with relational (SQL Server, Azure SQL) and non-relational databases (Azure Cosmos DB, etc.).
• Build, test, and deploy data solutions using Azure DevOps, version control, and CI/CD pipelines.
• Develop and enforce data governance policies and practices to ensure data integrity and security.
• Perform code reviews and ensure the quality of deliverables from the other developers are as per the standards.
• Collaborate with multi-functional teams, including designers, developers, and quality assurance engineers to build, refine, and enhance software products.
• Optimize and troubleshoot large datasets using Python and Azure cloud-native technologies.
• Create and maintain comprehensive technical documentation.

Who You Are:

A competent professional characterized by being action-oriented, consistently pursuing self-development to enhance skills and knowledge. You possess a drive for achieving results, demonstrating a commitment to excellence in their endeavors. Tech-savvy professional adept at leveraging technological tools to streamline processes and enhance productivity. You excel in collaborative efforts, recognizing the value of teamwork and effectively contributing to collective goals.

For This Role, You Will Need:

•  5-8 years of experience as a Data Engineer, focusing on Azure cloud services
• Bachelor’s degree in computer science, Information Technology, or related field.
• Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Storage.
• Strong SQL skills, including experience with data modeling, complex queries, and performance optimization.
• Ability to work independently and manage multiple tasks simultaneously.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines (Azure DevOps).
• Knowledge of Data Lake Architecture, Data Warehousing, and Data Modeling principles.
• Experience with RESTful APIs, Data APIs, and event-driven architecture.
• Familiarity with data governance, lineage, security, and privacy best practices.
• Strong problem-solving, communication, and collaboration skills.
• Microsoft Certified: Azure Data Engineer Associate

Preferred Qualifications that Set You Apart:

• Bachelor’s degree in computer science or a related field.
• Strong analytical, communication, and teamwork skills.
• Preferred Azure Data Engineer Certifications

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