Data Engineer

NexionPro Services; Pune District; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

NexionPro Services in Pune, Maharashtra, India seeks an experienced Data Engineer with 7–11 years of hands-on Databricks expertise to design and implement enterprise-scale data solutions. You will optimise performance, governance, and architecture across Delta Lake and Unity Catalog, driving best practices.

Role requires collaborating with architects, engineers, and business stakeholders in an Agile environment, delivering high-quality data platforms and insights while ensuring security and

Qualifications

• Must have strong hands-on Databricks experience with enterprise-scale data engineering solutions.
• Expertise in Databricks architecture, Delta Lake, Unity Catalog, Workflows/Jobs, and performance optimisation.
• Proven ability to assess existing implementations and propose Databricks-based solutions, improvements, accelerators, and best practices.
• Provide technical recommendations around Databricks architecture, performance, scalability, cost optimisation, security, and governance.
• Solid understanding of Data Engineering, Data Warehousing, ETL/ELT concepts, SQL, databases, and data modelling.

Responsibilities

• Design and implement enterprise-scale data pipelines using Databricks.
• Lead technical discussions with customer architects, engineers, and business stakeholders.
• Drive thought leadership and propose better Databricks-based solutions beyond provided requirements.
• Collaborate across teams to ensure security and governance practices are followed.
• Communicate clearly and manage stakeholders in an Agile/Scrum environment.

Skills

Data engineering

SQL

ETL/ELT

Stakeholder management

Agile/Scrum

Tools

Databricks

Delta Lake

Unity Catalog

Workflows/Jobs

Job description

Data Engineer: Experience: 7 - 11 years (but need expert Engineers):

• Strong hands-on Databricks experience is mandatory, with expertise in designing and implementing enterprise-scale data engineering solutions.
• Strong experience in Databricks architecture, Delta Lake, Unity Catalog, Workflows/Jobs, performance optimisation, and data governance.
• Ability to assess existing implementations and proactively propose Databricks-based solutions, improvements, accelerators, and best practices.
• Provide technical recommendations around Databricks architecture, performance, scalability, cost optimisation, security, and governance.
• Strong understanding of Data Engineering, Data Warehousing, ETL/ELT concepts, SQL, databases, and data modelling.
• Ability to perform technical design and solution discussions with customer architects, engineering teams, and business stakeholders.
• Expected to demonstrate technical thought leadership, challenge existing approaches where required, and recommend better solutions rather than only implementing provided requirements.
• Excellent communication, presentation, and stakeholder management skills.
• Experience working directly with customers and senior stakeholders.
• Experience working in Agile/Scrum delivery environments.
• Comfortable working in a fast-paced, high-pressure delivery environment, managing priorities while maintaining engineering quality.
• Databricks certification is mandatory.
• Advanced Databricks certifications and relevant Cloud certifications would be an added advantage.