Allianz

3 months ago

Azure Databricks Systems Specialist_2567 (IN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

focusing on building and operating scalable data pipelines and analytics workflows in a cloud environment using Azure Databricks, PySpark, Spark, and Azure Data Factory to enable enterprise data models, governance, and GDPR compliance.

Location: India

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Build and optimize scalable data pipelines using Databricks, PySpark, Spark, and Azure Data Factory.
•Analyse, clean, and organize raw data from multiple structured and unstructured sources.
•Develop and maintain ETL/ELT workflows following best engineering and DevOps practices.
•Implement CI/CD pipelines using GitHub and Azure DevOps.
•Deploy and orchestrate workloads using Docker and Kubernetes.

Key Requirements

•Bachelor’s or Master’s degree in Engineering, Computer Applications, or equivalent.

Experience:6+ yearsData engineeringEnterprise data

Education:Bachelor's

Skills:Data engineeringData pipelinesETL/ELTGDPRGovernanceStakeholder managementProblem-solving

Tech Stack:AzureDatabricksSynapsePythonSQLSparkPySparkCI/CDGitHubAzure DevOpsDockerKubernetes

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

3 months ago

Azure Databricks Systems Specialist_2567 (IN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: India

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Build and optimize scalable data pipelines using Databricks, PySpark, Spark, and Azure Data Factory.
•Analyse, clean, and organize raw data from multiple structured and unstructured sources.
•Develop and maintain ETL/ELT workflows following best engineering and DevOps practices.
•Implement CI/CD pipelines using GitHub and Azure DevOps.
•Deploy and orchestrate workloads using Docker and Kubernetes.

Key Requirements

•Bachelor’s or Master’s degree in Engineering, Computer Applications, or equivalent.

Experience:6+ yearsData engineeringEnterprise data

Education:Bachelor's

Skills:Data engineeringData pipelinesETL/ELTGDPRGovernanceStakeholder managementProblem-solving

Tech Stack:AzureDatabricksSynapsePythonSQLSparkPySparkCI/CDGitHubAzure DevOpsDockerKubernetes

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn