Job highlights

- Bachelor or Masters Degree in a relevant quantitative field,e g Computer Science,Mathematics,Engineering,Statistics or other is an advantage

- We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process,to perform essential job functions,and to receive other benefits and privileges of employment

About Swiss Re

Swiss Re is one of the worlds leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient

It anticipates and manage a wide variety of risks, from natural catastrophes to climate change, from ageing populations to cybercrime The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients

Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally

It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Groups overall mission

Are you a data evangelist who blends deep technology expertise with a passion for data analytics and integrationsThen you are exactly the person we are looking for!

About The Role

The Data Engineer is a critical role in the production of data for operations and actionable insights The Data Engineer designs, develops, automates and supports the applications used to extract, transform and load data from operational systems and other sources to the enterprise data platform for onward consumption by business users, data scientists and other applications

We are seeking a motivated data engineer, who will contribute to deliver end to end data pipelines to productive environments, working in tight partnership with peers, internal experts, and business clients to support, organize and lead various activities within the team

Key Tasks

Understand business requirements and convert into technical specifications

Understand end to end application & integration landscape

Build data pipelines to ingest data from source to enterprise data platforms

Design & build data models across multiple relational databases

Be the subject matter expert for data and integration related topics

Build up sustainable relationships with key business and IT stakeholders in order to become a trusted partner along with the product owner

Meet with business stakeholders,



understand the requirements and advise on efficient solutions

Ensure timely customer communication and coordination of follow-up activities

Apply and implement Agile Scrum and DevOps standard methodologies while driving the initiative forward

Apply industry standard methodologies for data pipeline development

Your Main Responsibilities Are

As a Data Engineer for digital solutions, you contribute by:

Collaborating with the product owner to build a target architecture for the products in scope of the team and to determine how we can improve business processes and generate value

Advise on design practises needed for the squad on developing, integrating, managing digital solutions, services and reducing technical debts

Collaborating with Engineering leads to ensure design decisions are aligned for the product area A key member in squad and help the Product Owner to foster an agile mentality

About The Team The role is in the Integration team of the Data & Analytics Product Area which is developing and operating state of the art integrations at the Finance Division of Swiss Re The integration team is globally distributed with the Produce Owner based in Bangalore and focuses on building and operating the future of integration for Finance as Swiss Re The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering

About You

As a successful candidate for this role, you possess

Bachelor or Master's Degree in a relevant quantitative field, e g Computer Science, Mathematics, Engineering, Statistics or other is an advantage

5 to 8 years of experience in designing and implementing end to end data pipelines & data models

Strong understanding of data engineering techniques with modern programming languages and analytical frameworks (proficient in Python, PySpark, SQL)

Proficient in Spark based data lake & extended services like, Azure Databricks, Azure Data Factory, Azure Data Lake etc

Expertise working with relational databases like Oracle/Azure SQL/ Postgres





Experience with Integration technologies like REST/SOAP APIs, Event based architecture

Problem-solving skills and commitment to quality and timely delivery

Strong interpersonal, written and verbal communication skills, including clear articulation of technical topics to a non-technical audience A desire to continuously upskill & stay relevant with emerging technologies

Interested in this current challengeWe are looking forward to your application!

We are an equal opportunity employer and value diversity at our company

We do not discriminate on the basis of race, religion, colour, national origin, gender, including gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status

Swiss Re offers modern work models and attractive workplaces that allow all employees to adapt to changing work preferences and life phases

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment

Please contact us to request accommodation

About Swiss Re

Swiss Re is one of the worlds 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 cutting-edge 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: 133427

📌 Data Engineer III (Bengaluru)
🏢 Swiss Re
📍 Bengaluru