Senior Data Engineer

Nuaav; Dadri; Presencial; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Nuaav is seeking a Senior Data Engineer to design, build, and optimize scalable data solutions within Azure-hosted enterprise retail platforms. The role is hands-on, focusing on robust data pipelines, SQL performance, and best practices in Snowflake and SQL Server environments.

You will collaborate with Leads and Managers to deliver high-quality data architecture aligned with business objectives. Strong communication and a detail-oriented mindset are essential for success in this fast-paced

Formación

• 5+ years of experience in Data Engineering.
• Expert-level SQL knowledge with performance tuning.
• Hands-on experience with Snowflake and SQL Server.
• Experience in Microsoft Azure environments.
• Strong ETL and data transformation knowledge.
• Excellent English communication skills.

Responsabilidades

• Design and implement data pipelines and transformations.
• Develop and optimize advanced SQL queries and data models.
• Work with Snowflake and SQL Server across Azure environments.
• Ensure performance tuning and query optimization.
• Support data architecture design and implementation.
• Maintain data integrity and quality.
• Collaborate with cross-functional teams on integration initiatives.
• Contribute to documentation and best practices.

Conocimientos

Python

Advanced English

CI/CD for data workflows

Retail industry experience

Herramientas

Snowflake

SQL Server

Azure

Descripción del empleo

We are seeking a Senior Data Engineer to design, build, and optimize scalable data solutions within enterprise retail platforms hosted in Azure. This role is highly hands‑on and focused on developing robust data pipelines, optimizing SQL performance, and implementing best practices in Snowflake and SQL Server environments. The Senior Data Engineer will collaborate closely with Leads and Managers to deliver high-quality data architecture solutions aligned with business objectives. The ideal candidate is technically strong, detail-oriented, and experienced in large-scale data processing environments.

Responsibilities

• Design and implement data pipelines and transformations.
• Develop and optimize advanced SQL queries and data models.
• Work extensively with: Snowflake and SQL Server
• Ensure performance tuning and query optimization across environments.
• Support data architecture design and implementation efforts.
• Maintain data integrity, quality, and consistency standards.
• Collaborate with cross-functional teams on integration initiatives.
• Contribute to documentation and technical best practices.

Qualifications

• 5+ years of experience in Data Engineering.
• Expert-level SQL knowledge (complex queries, performance tuning, optimization).
• Strong hands‑on experience with Snowflake and SQL Server.
• Experience working in Microsoft Azure environments.
• Solid understanding of ETL processes and data transformation frameworks.
• Advanced English communication skills.

Required Skills

• Knowledge of Python for data processing, scripting, or automation.
• Retail industry experience.
• Experience with CI/CD for data workflows.

Preferred Skills

• Strong analytical and problem‑solving skills.
• High attention to detail.
• Ownership mindset and proactive attitude.
• Ability to work collaboratively in cross‑functional environments.