Senior Data Engineer - Databricks/Azure

Role overview

This position is for an experienced Senior Data Engineer to contribute to a Technology & Analytics practice, building scalable data solutions with Databricks and Azure. The role is suited to someone who enjoys solving complex business problems and wants to make a meaningful impact in a collaborative, hybrid work setup across PAN India.

Work locations mentioned for this role include Noida, Gurugram, Pune, and Bengaluru.

About the employer

The hiring organization is part of a leadership recruitment firm focused on senior and C-level hiring. The broader work environment described is innovative, inclusive, and centered on learning, growth, and empowerment.

Responsibilities

• Use Databricks and Azure tools to develop dependable, scalable, and efficient data engineering pipelines.
• Create and implement data models for large-scale enterprise initiatives while ensuring smooth system integration.
• Track, assess, and improve data platform performance, including scaling and tuning where needed.
• Work closely with analysts, engineers, and other stakeholders to clarify data needs and deliver solutions on time.
• Maintain strong standards for data security, data quality, and governance, along with complete technical documentation.

Requirements

• At least 5 years of experience in data engineering, with practical exposure to Databricks and the Azure ecosystem.
• Solid knowledge of ETL and ELT workflows, data orchestration, and core cloud concepts.
• Hands-on ability in Python, Scala, and SQL, with an emphasis on writing clean, reusable, and maintainable code.
• Strong debugging and analytical skills for handling complex data engineering issues.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.

Perks and benefits

• Competitive compensation package aligned with experience and contribution.
• Hybrid working arrangement offering a mix of remote and in-office collaboration.
• Learning support through training and certification opportunities.
• An inclusive workplace culture that values diversity.
• Exposure to challenging assignments with scope for long-term career growth.

Additional information

Applicants are expected to be eligible to work as any graduate, as stated in the source. The hiring team has indicated that only shortlisted candidates may be contacted, and if there is no response within one week, the application should be considered unsuccessful.

The source also includes a caution against fraudulent job approaches using the employer’s name. Candidates are advised that no payment, purchase, or system upgrade is ever requested for recruitment purposes.

A contact email was provided in the source for sharing an updated profile, but external contact details have been omitted here.

Profile focus

Key experience areas referenced for the role include Databricks, Azure, data engineering, ETL, data pipelines, cloud technologies, Python, Scala, SQL, and data infrastructure.