Technical Lead Azure Databricks_3417
Allianz SE1 day ago
Pune, IndiaStaff+
Responsibilities
- Lead platform engineering, data engineering, or cloud infrastructure work using Azure Databricks and related cloud-native technologies.
- Deploy model-based services and support AI platform tooling and MLOps practices.
- Work with Kubernetes, Docker, modern data-stack technologies, Azure data services, and observability platforms.
Requirements
- 7+ years of experience in platform engineering, data engineering, or cloud infrastructure.
- Exposure to Azure AI Foundry or comparable AI platform tooling, including deployment of model-based services.
- Familiarity with MLOps practices and tools such as MLflow, feature stores, and model lifecycle governance.
- Experience with Kubernetes, Docker, and cloud-native architectures.
- Hands-on familiarity with modern data-stack technologies such as Spark, dbt, Kafka, and Snowflake.
- Practical experience with Azure Synapse Analytics and Microsoft Fabric.
- Experience with Azure Monitor, Datadog, or Prometheus.
- Relevant certifications such as Databricks Certified Data Engineer or Microsoft Azure Data Engineer, or equivalent.
Benefits
- Allianz describes an inclusive workplace focused on equal opportunities, integrity, fairness, inclusion, and trust.
Tech Stack
Categories
Data EngineeringDevOps
About Allianz SE
Allianz SE is a Munich-based public company that provides property-casualty, life and health insurance, and asset management to individuals and businesses worldwide. It earns premiums and investment-management fees, operating through brands such as Allianz Commercial and asset managers including PIMCO and Allianz Global Investors. Founded in 1890 and listed on the Frankfurt Stock Exchange, it serves over 100 million customers in about 70 countries.