Databricks Data Engineer

Job Title: Databricks Data Engineer

Location: Delhi (Hybrid)

Experience: 2–6 Years

Type: Full-Time

About the job

Veracy Consulting provides Consulting and Development services to Energy Trading & Risk Management clients. We’re growing our data team and looking for skilled Databricks Engineers to help design, build, and maintain modern, cloud-based data solutions. If you love turning messy data into reliable, scalable pipelines — and enjoy solving tough technical problems alongside a collaborative team — we’d love to hear from you.

🚀 What you’ll do

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark

• Build and optimize ETL/ELT processes for structured and semi-structured data

• Write clean, efficient, maintainable code in Python and SQL

• Partner with business and technical stakeholders to translate data requirements into robust solutions

• Integrate data from multiple source systems into cloud-based platforms

• Monitor, troubleshoot, and improve pipeline performance, reliability, and data quality

• Champion best practices in testing, documentation, version control, security, and data governance

• Contribute to code reviews, technical discussions, and continuous improvement

✅ What we’re looking for

• 2–6 years in data engineering, data development, or a similar role

• Strong experience with Databricks

• Strong Python and SQL skills

• Solid grasp of data pipelines, ETL/ELT, and modern data engineering practices

• Experience with large datasets and optimizing data-processing workloads

• Familiarity with cloud data platforms — ideally Azure

• Comfortable with Git and collaborative development practices

• A structured, solution-oriented mindset and a sharp eye for data quality

• Strong communicator and team player

⭐ Nice to have

• Azure Data Factory, Azure Data Lake, or similar cloud services

• Delta Lake, Databricks Workflows, and Unity Catalog

• CI/CD pipelines and infrastructure-as-code

• Supporting reporting, analytics, or BI use cases

Why join us

• Work on impactful, modern cloud-data projects

• Grow your Databricks and data-engineering expertise in a collaborative environment

• Build scalable platforms that support real business decisions

• Flexible, growth-oriented workplace

#DataEngineering #Databricks