Experience
8 - 13 yrs
Salary (CTC)
₹34.5L - ₹46.5L
Job Location
Hyderabad, India
Vacancy
1
Designation
Senior Data Engineer
Job Type
ONSITE
Job Description
About The Role:
As a Data Engineer in our Product Area, you will do more than just extract, transform, and load data
You will implement businessfunctionality that enables our customers to run their accounting processes and that produces data to satisfy their reporting needs
Youwill design, develop, automate, and support data pipelines and applications that combine data elements from multiple domains andsystems
You will leverage innovative technologies and frameworks to enable scalable and efficient data processing
You will collaboratewith other engineers, analysts, product owners and stakeholders to deliver value-added solutions that meet the business needs andexpectations
We are living DevOps
We own the implementation of the business functionality and operate our workload in production
We are lookingfor an ambitious data engineer, who will help to build and deploy end-to-end data pipelines to production environments
Key tasks
Understand business requirements and convert into technical specifications
Oversight of the end-to-end application architecture
Build data pipelines that create financial data by combining input from various sources
Take ownership for the implementation of functional and non-functional requirements
Ensure
a high level of test automation
Build up sustainable relationships with key business and IT stakeholders 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
Contribute to the operations during quarterly closing cycles
Your Main Responsibilities Are:
Collaborating with the product owner to build a target architecture for the products in scope of the team
Design data pipelines and data flows and actively contribute hands-on to the coding
Collaborating with the Engineering lead of the team to ensure design decisions are aligned within the product area
Perform peer code reviews
Present and communicate ideas and design to in the team for review and brainstorming
Ensure technical design and implementation are in line with architecture and meet quality requirements (e g , performance, reliability,availability)
Apply
software engineering practices to ensure the quality, performance, and maintainability of our applications
About The Team:
The position is part of the Cashflow Enhancement team that is newly created in the Subledger Input Preparation Product Area
Thisarea designs and runs business applications at the Finance IT Division of Swiss Re
The Product Owner is in Switzerland and leads a global team that develops and runs the next generation of finance businessapplications for Swiss Re
You will report to a local team leader based in India
The team builds on a Lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) withPython being the main programming language and PySpark is used for large scale data engineering
About You:
Bachelor's or master's
degree in a relevant quantitative field, e g , Computer Science, Mathematics, Engineering
5+ 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 inPython, 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/Postgres
Experience with integration technologies like REST/SOAP APIs
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
About Swiss Re
Swiss Re is one of the worlds leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working tomake the world more resilient
We anticipate and manage a wide variety of risks, from natural catastrophes and climate change tocybercrime
We cover both Property & Casualty and Life & Health combining experience with creative thinking and cutting-edgeexpertise, we create new opportunities and solutions for our clients
This is possible thanks to the collaboration of more than 14,000employees across the world
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking
We embrace aworkplace 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 inclusiveand flexible environment everyone can bring their authentic selves to work and their passion for sustainability
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 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: 132467
As a Data Engineer in our Product Area, you will do more than just extract, transform, and load data
You will implement businessfunctionality that enables our customers to run their accounting processes and that produces data to satisfy their reporting needs
Youwill design, develop, automate, and support data pipelines and applications that combine data elements from multiple domains andsystems
You will leverage innovative technologies and frameworks to enable scalable and efficient data processing
You will collaboratewith other engineers, analysts, product owners and stakeholders to deliver value-added solutions that meet the business needs andexpectations
We are living DevOps
We own the implementation of the business functionality and operate our workload in production
We are lookingfor an ambitious data engineer, who will help to build and deploy end-to-end data pipelines to production environments
Key tasks
Understand business requirements and convert into technical specifications
Oversight of the end-to-end application architecture
Build data pipelines that create financial data by combining input from various sources
Take ownership for the implementation of functional and non-functional requirements
Ensure
a high level of test automation
Build up sustainable relationships with key business and IT stakeholders 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
Contribute to the operations during quarterly closing cycles
Your Main Responsibilities Are:
Collaborating with the product owner to build a target architecture for the products in scope of the team
Design data pipelines and data flows and actively contribute hands-on to the coding
Collaborating with the Engineering lead of the team to ensure design decisions are aligned within the product area
Perform peer code reviews
Present and communicate ideas and design to in the team for review and brainstorming
Ensure technical design and implementation are in line with architecture and meet quality requirements (e g , performance, reliability,availability)
Apply
software engineering practices to ensure the quality, performance, and maintainability of our applications
About The Team:
The position is part of the Cashflow Enhancement team that is newly created in the Subledger Input Preparation Product Area
Thisarea designs and runs business applications at the Finance IT Division of Swiss Re
The Product Owner is in Switzerland and leads a global team that develops and runs the next generation of finance businessapplications for Swiss Re
You will report to a local team leader based in India
The team builds on a Lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) withPython being the main programming language and PySpark is used for large scale data engineering
About You:
Bachelor's or master's
degree in a relevant quantitative field, e g , Computer Science, Mathematics, Engineering
5+ 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 inPython, 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/Postgres
Experience with integration technologies like REST/SOAP APIs
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
About Swiss Re
Swiss Re is one of the worlds leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working tomake the world more resilient
We anticipate and manage a wide variety of risks, from natural catastrophes and climate change tocybercrime
We cover both Property & Casualty and Life & Health combining experience with creative thinking and cutting-edgeexpertise, we create new opportunities and solutions for our clients
This is possible thanks to the collaboration of more than 14,000employees across the world
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking
We embrace aworkplace 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 inclusiveand flexible environment everyone can bring their authentic selves to work and their passion for sustainability
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 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: 132467
No Referrers Available
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