Lead/ Senior Data Engineer_ Exp: 8+ Years (Python+ ETL+ Databricks)

Atyeti; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Atyeti in Pune is seeking a data engineer to design and optimize database-centric solutions on a high-volume data platform. You will work with SQL, Python, and ETL pipelines to support risk data and cloud migration initiatives, including Databricks on Azure.

This role emphasizes performance tuning and adopting new technologies to improve the platform. The ideal candidate will bring hands-on experience with ETL workflows, strong SQL skills, and a keen interest in Azure services to drive scalable

Responsibilities

• Design, develop, and optimize database‑centric solutions on a high‑volume data platform.
• Comfortable with at least one language, e.g., Python.
• Work extensively with SQL in a large‑scale production environment.
• Develop and improve ETL/data pipelines supporting critical risk data.
• Contribute to our planned Azure cloud migration, especially on Databricks as it ramps up.
• Support evaluation and adoption of new technologies and approaches.
• Bring ideas and energy to improve how the platform is built and operated.
• Solid SQL skills, including performance optimization.
• Experience working with ETL pipelines or data processing systems.
• Exposure to or strong interest in Azure (e.g., Azure SQL, Data Factory, migration projects).

Job description

Role & responsibilities

• Design, develop, and optimize database‑centric solutions on a high‑volume data platform.
• Comfortable with at least one language, e.g., Python.
• Work extensively with SQL in a large‑scale production environment.
• Develop and improve ETL/data pipelines supporting critical risk data.
• Contribute to our planned Azure cloud migration, especially on Databricks as it ramps up.
• Support evaluation and adoption of new technologies and approaches.
• Bring ideas and energy to improve how the platform is built and operated.
• Solid SQL skills, including performance optimization.
• Experience working with ETL pipelines or data processing systems.
• Exposure to or strong interest in Azure (e.g., Azure SQL, Data Factory, migration projects).