Senior Data Engineer

Hyderabad, TG, IN

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About the Team

Join us as a core member of the Data Management team to develop and maintain modern data services for Swiss Re's international group of Risk Consulting specialists, who provide risk knowledge to Swiss Re clients around the world.

About the Role

As a Senior Data Engineer, you will contribute to and support data management activities using most advanced Microsoft Azure technologies. The data management team enables data scientists and data analysts to provide risk knowledge advice and insights as well as data analytics SaaS solutions to Swiss Re clients.

Key responsibilities include:

• End-to-end ownership of designing and implementing data pipelines to source, extract, transform, and load data from various sources into a data lake.

• Collaborating with peers and senior team members to optimize data management processes.

• Performing data quality checks and troubleshooting.

• Maintaining comprehensive documentation and data lineage across multiple systems.

• Contributing to developing and implementing data analytics solutions strategy.

• Providing support to the consumers of the data. About You You are passionate about organizing data to make it easy to derive insights, machine learning models and other advanced analytics solutions, and ultimately enable informed business decisions.

• Hands-on experience in building ETL / ELT data pipelines is required.

• Solid knowledge of data management disciplines, including data modelling, data quality management, and data access controls, within context of end-to-end data architecture. • Proficiency with Python, PySpark, and SQL, or similar programming and query languages.

• Experience with Databricks, Azure Data Factory, and Azure data storage services.

• Demonstrated ability to analyze complex data-related challenges and to identify effective solutions.

• Software engineering and DevOps mindset. • Experience with Scrum/Agile development methodologies.

• A Bachelor’s or Master’s degreee in computer science, data or software engineering, or equivalent work experience. Overall 7-10 Years experience is preferred.

 

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.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

 

 

Keywords:  
Reference Code: 131989 

 

 

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Category: Engineering Jobs

Tags: Agile Architecture Azure Computer Science Consulting Data Analytics Databricks Data management Data pipelines Data quality DevOps ELT Engineering ETL Machine Learning ML models Pipelines PySpark Python Scrum SQL

Perks/benefits: Career development Flex hours Team events

Region: Asia/Pacific
Country: India

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