Description
Job Summary
We are seeking a skilled Senior Consultant – Databricks to design, develop, and implement up-to-date data engineering solutions using the Databricks platform. The ideal candidate will work closely with customers and internal teams to understand business requirements, build scalable data pipelines, and deliver high-quality data solutions leveraging cloud-based Lakehouse architecture.
The role requires strong hands-on experience in Databricks, Apache Spark, Python, and SQL, along with the ability to collaborate with stakeholders and contribute to end-to-end data platform implementations.
Experience
- 6+ years of overall experience in Information Technology.
- 3+ years of hands-on experience with Databricks.
- Experience in developing and implementing enterprise data engineering solutions.

Key Responsibilities
- Collaborate with customers and business stakeholders to understand data and analytics requirements.
- Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.




- Build and optimize ETL/ELT workflows for batch and near real-time data processing.
- Implement Data Lakehouse solutions following the Medallion Architecture (Bronze, Silver, Gold).
- Develop data transformation logic using Python, PySpark, and SQL.
- Ensure data quality, reliability, and performance through testing and optimization.
- Troubleshoot and resolve data processing and performance issues.
- Work closely with Solution Architects, Data Engineers, and DevOps teams to deliver end-to-end solutions.
- Participate in code reviews and follow development best practices.
- Create technical documentation and provide support during deployment and production activities.

Required Technical Skills
- Strong hands-on experience with Databricks.
- Proficiency in Python, SQL, and Apache Spark (PySpark).
- Good understanding of Data Lake and Lakehouse architecture.
- Experience implementing Bronze, Silver, and Gold data layers.
- Experience designing and devel

📌 Senior Solutions Consultant (India)
🏢 Unison Group
📍 India