Careallianz
AI Tech Lead (Data Engineering)_D3006
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
29 September 2026
What they need
Design and develop scalable data pipelines using AI and machine learning techniques.
Collaborate with cross-functional teams to integrate data from various sources into a unified platform.
Develop and maintain large-scale data warehouses and data lakes.
Implement data quality checks and ensure data integrity across the organization.
Work closely with stakeholders to understand business requirements and develop solutions that meet their needs.
Stay up-to-date with industry trends and emerging technologies in AI and data engineering.
Job Requirements
Strong proficiency in programming languages such as Python, Java, or C++.
Experience with big data processing frameworks like Hadoop, Spark, or Flink.
Knowledge of database management systems including relational databases like MySQL or PostgreSQL.
Familiarity with cloud-based platforms such as AWS or GCP.
Excellent problem-solving skills and ability to work in a fast-paced environment.
Strong communication and collaboration skills to work effectively with technical and non-technical teams.
About Company
Allianz is a leading insurance company committed to leveraging technology and innovation to drive business growth and customer satisfaction. We offer a dynamic and supportive work environment with opportunities for professional development and growth.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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