Senior Data Engineer
First seen by Alion on Aug 26, 2026.
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.
Skills
Data Engineering, Azure Databricks, Analytics, Apache Spark, Cloud, Data Science, Spark, Machine Learning