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Senior Data Engineer

https://www.allianz.com Logo

Allianz

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Location:
India, Thiruvananthapuram

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The functional area “Digital Customer Interaction” within AZ Technology steers and bundles all technical platforms and tools for digital marketing (frontend, websites, campaigns, data & analytics, customer portals, and journeys). Tools & technologies are rolled out to Operating Entities (organizational units of Allianz within different countries) while ensuring high efficiency and scalability. The unit “Data Driven Marketing” within the functional area is looking for a senior backend developer with a focus on data processing and data science with the responsibilities and experiences as outlined below.

Job Responsibility:

  • Requirement Analysis: Collaborate with stakeholders to understand data needs
  • translate business requirements into technical specifications
  • Design and Architecture: Create and optimize scalable data transformation architectures
  • ensure the resilience and reliability of data processes
  • Data Modeling: Create and adapt relational and non-relational data models
  • Development: Develop and maintain code for backend services and data transformation
  • implement ETL pipelines and data integration solutions
  • Technical Leadership: Guide development team with best practices
  • conduct code reviews and provide constructive feedback
  • Testing and Quality Assurance: Develop end-to-end and unit testing strategies and deploy them to CI/CD pipelines
  • oversee the integrity and quality of data
  • Collaboration: Interface with various cross-disciplinary teams across regions to integrate data transformation systems
  • Compliance and Security: Enforce privacy and security standards
  • Innovation: Research and apply new technologies and methodologies, especially in artificial intelligence and data engineering
  • Data Analysis and Insights: Utilize statistical analysis and machine learning techniques to derive actionable insights from large datasets
  • Model Deployment: Develop and deploy machine learning models into production environments
  • Data Visualization: Create dashboards and reports to visualize data insights for stakeholders

Requirements:

  • 5+ years relevant experience in any of the following areas
  • Proficiency in languages such as SQL, Python
  • Experience with Pandas, SQL Alchemy, PostgreSQL, Asyncio, GitHub Copilot, and data visualization tools like MicroStrategy, MS PowerBI, Tableau, Python or R Studio
  • Strong understanding of Event Driven Architecture, Data Warehousing, Database Design, NoSQL, Data Engineering, Microservices, API Design, and Machine Learning
  • Experience with cloud services like Azure, AWS, or GCP, particularly knowledge of Azure Functions, Storage, Data Factory, Queues, and virtual machines
  • Understanding of CI/CD pipelines (GitHub Actions) and containerization tools such as Docker, Terraform, Kubernetes
  • Experience with OpenAI and generative AI models, and familiarity with libraries like TensorFlow or PyTorch
  • Practical experience (applied in business) with both supervised and unsupervised machine learning algorithms
  • Ability to guide and inspire other developers and data scientists, mentor team members, and share knowledge
  • Strong verbal and written communication skills in English
  • Excellent problem-solving skills
  • Demonstrated ability to collaborate with individuals and teams across countries
  • Strong understanding of agile software development processes (Scrum, Kanban), ceremonies, and roles
  • Capacity to learn and adapt to new technologies and methodologies
  • Keen attention to detail and a commitment to delivering high-quality work
  • Competence in making informed decisions quickly and effectively
  • Put the customer (our Allianz Operating Entities) always first by delivering measurable business value via our data and IT solutions
What we offer:
  • Caring for our employees, their ambitions, dreams and challenges
  • We believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer
  • We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in

Additional Information:

Job Posted:
March 24, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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