Expert Data Engineer
Hyderabad, TG, IN
About the role:
We are looking for a highly motivated and experienced data engineer to join Group Functions IT at Swiss Re in Hyderabad. You would join a highly talented and motivated team working on implementing a Finance Transformation based on cutting edge streaming architecture with kafka streams based integration.
Your main tasks:
- You implement secure, compliant and cloud native data integration solutions on Microsoft Azure.
- You focus on developing API-centric apps, know the digital ecosystem and integrate your solution with ease with external services.
- Develop components that enable quality, re-usability, scalability, availability and maintainability in accordance with the overall business strategy and IT standards.
- Perform peer code reviews.
- Present and communicate ideas and design to various stakeholder for review and brainstorming.
- You embrace the DevSecOps culture, automate everything and enable continuous delivery of secure and high-quality software, delivering valuable features at a very fast pace!
- Continuously improve the architecture and design of our systems
- Ensure technical design and implementation are in line with architecture and meet quality requirements (e.g., performance, reliability, availability)
- Implement software engineering practices to ensure the quality, performance, and maintainability of our applications
- Mentor and support professional skill development of junior colleagues, addressing complex issues and sharing your experience with others
About the team:
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.
About you:
Are you a self-starter with a keen interest in new technology and motivated, energetic and enthusiastic about using technology to address business challenges? Can you bring new digital solutions and business processes to life through creation of the right culture?
- Familiarity with data structures, algorithms, storage systems, cloud infrastructure.
- 8+ years of hands-on Software Development experience with Java 1.8 onwards preferably with some experience Java 17.
- Experience in developing APIs with Spring Boot is a must. Experience with Spring cloud would be a plus.
- Experience with implementing Integrations based on Kafka is a must.
- Experience with Kafka Streams would be a plus.
- Experience working with a public cloud platform(Azure, GCP, AWS etc.,) is a must.
- Ability to work effectively in teams with both technical and non-technical individuals in a rapidly changing environment with dynamic objectives.
- Demonstrated ability to work independently and make decisions with minimal supervision.
- University degree (or similar) in Computer Science, Data Science, Math, Statistics or Engineering.
- Excellent verbal and written communication skills.
- English fluent is a requirement.
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
.swissre_footer { position: relative; margin-top: -50px; height: 30px; clear: both; margin-bottom: 20px; background: #EEE none repeat scroll 0% 0%; line-height: 30px; padding: 0px 10px; color: #AAA; font-family: "Arial,Helvetica,sans-serif"; } .swissre_jobtemplate { width: 970px; max-width: 100%; height: auto; } .jobDisplay .job { font-family: "Arial" !important; font-size: 12px !important; } .joqReqDescription { max-width: 100%; height: auto; align: center; } .joqReqDescription ul { width: 787px; max-width: 100%; } .joqReqDescription p { width: 827px; max-width: 100%; } Keywords:
Reference Code: 128905
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure Computer Science Engineering Finance GCP Java Kafka Mathematics Statistics Streaming
Perks/benefits: Career development Flex hours
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs