Data Engineer_3333
Allianz SE (company site, opens in a new tab)6+ yrsPuneOn-siteDirect career pageEst. 18–30 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and execute Azure Synapse to Databricks migration projects, including workload assessment, ETL migration, and performance optimization.
- Build and scale data engineering teams while mentoring junior engineers to enhance team capabilities.
- Manage Databricks environments focusing on cluster management, performance tuning, cost optimization, and implementation of data governance and security measures.
Minimum Requirements
- 6+ years of experience in data engineering or analytics roles.
- Bachelor’s degree in computer science, Information Technology, or a related field.
- Strong hands-on experience with Databricks (Spark, Delta Lake, MLflow) and Azure Synapse Analytics, including migration projects.
- Proficiency in SQL, Python, Spark, Databricks cluster management, CI/CD pipelines, and version control tools (e.g., Git).
Ideal Candidate Profile
- Experienced in leading large-scale cloud data modernization and migration programs within enterprise environments.
- Demonstrates expertise in data architecture, data modeling, and cloud-native data solutions with strong analytical and problem-solving skills.
- Capable of effective communication and stakeholder management, balancing independent work with collaborative team dynamics.