Position : Senior Databricks Data Engineer

Employment Type : Full Time

Locations : Bangalore / Chennai / Hyderabad

- 10+ years of experience in Data Engineering, Data Platforms, and Analytics, with 10+ years of overall consulting experience in enterprise technology environments.

- Strong hands-on experience with Databricks, having delivered 7-10+ data engineering projects involving architecture, development, implementation, and production deployment.

- Possess a Data Engineering Professional certification along with the required training/classes and demonstrate strong practical application of data engineering principles.

- Strong expertise in Apache Spark and distributed computing, including a solid understanding of Spark architecture, runtime internals, optimization, and large-scale data processing.

- Hands-on experience with two or more major cloud platforms - AWS, Azure, or GCP, with deep expertise in at least one cloud ecosystem.

- Demonstrate strong knowledge of the Databricks platform and its broader product capabilities, including data engineering, analytics, governance, and modern data platform features.

- Experience implementing CI/CD pipelines and DevOps practices for automated testing, deployment, release management, and product ionization of data engineering solutions.

- Working knowledge of MLOps concepts and practices, with the ability to collaborate effectively across Data Engineering, Data Science, and Machine Learning teams.

- Strong understanding of performance optimization, scalability, cost optimization, and tuning of Databricks and Spark workloads for enterprise-scale data platforms.

- Excellent consulting, problem-solving, stakeholder management, and communication skills, with the ability to independently lead technical discussions and deliver complex data engineering solutions across distributed teams.