Required Skills
- 12+ years of overall IT experience.
- Strong hands-on experience with Databricks, Apache Spark and PySpark.
- Strong knowledge of Python and SQL.
- Experience with AWS, Azure or GCP.
- Hands-on experience in building scalable data pipelines and ETL/ELT solutions.
- Strong understanding of Lakehouse Architecture and Delta Lake.
- Experience with Unity Catalog, Databricks Workflows and MLflow is preferred.
- Experience with CI/CD, Git and DevOps practices.
- Good knowledge of data modeling and data warehousing.
- Experience in performance tuning and troubleshooting Databricks workloads.
- Strong client-facing communication and stakeholder management skills.
- Experience delivering multiple end-to-end Databricks implementation projects.

Mandatory Certification





Databricks Certified Data Engineer Qualified – Mandatory

Key Responsibilities
- Design and develop scalable data solutions using Databricks and Spark.
- Build and optimize data pipelines using PySpark and Python.
- Work on cloud-based data platforms and Lakehouse architecture.
- Implement CI/CD and deployment automation.
- Troubleshoot and optimize Databricks workloads.
- Participate in technical discussions and client meetings.
- Provide technical guidance and support to engineering teams.

Pay: ₹19,832.88 - ₹113,203.55 per month

Benefits:
- Flexible schedule

Work Location: Remote

📌 Databricks Engineer (India)
🏢 Asv Consulting Services
📍 India