Analyst | Data Engineer

3 weeks ago

Kuala Lumpur, Malaysia Synpulse Schweiz AG Full time

We are an established, globally active management consulting companywith offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong,the Philippines, Australia, Indonesia and India. We are a valued partner tomany of the world‘s largestinternational financial services and insurance firms. We support our clients atall project management stages from the development of strategies andoperational frameworks to the technical implementation and handover. Ourexpertise in business and technology combined with our methodic approach enableus to create sustainable added value for our clients business.

About the job: 

Develop processes of the ingestion of data using various programming languages, techniques and tools from systems implemented using Oracle, Teradata, SAP, and Hadoop technology stack.
Evaluate and make decisions around dataset implementations designed and proposed by peer engineers.
Build large consumer database models for financial planning & analytics including Balance Sheet, PnL, Cost Analytics and Related Ratios.
Develop ETL, real time and batch data processes feeding into in-memory data infrastructure.
Perform and document data analysis, data validation, and data mapping/design.
Work with clients to solve business problems in fraud, compliance and financial crime and present project results.
Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
Collaborate on scalability issues involving access to massive amounts of data and information.
You should be comfortable with working with high profile clients on their sites.

About you:

Bachelor’s Degree in Computer Science, Physics, Mathematics, or similar degree or equivalent.
Experience with open source big-data tools, such as Spark, Hadoop, and specially Scala.
Quantexa Certification preferred.
2-6 years of experience working in the Financial Services sector on big data project implementations.
Client facing experience, good communication and presentation skills. 
Enthusiasm to learn and develop emerging technologies and techniques.
Strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies. 

Why us:

Flexible working hours with part-time working models and hybrid options Attractive fringe benefits and salary structures in line with the market Can-do mentality and one-spirit culture Varied events and employee initiatives

Your documents to start the process:

Resume Qualifications (bachelor/ master diploma, etc.) with certificate of grades

Do you approach your tasks with commitment and enjoyment and are youconvinced that teamwork achieves better results than working alone? Are youproactive and willing to go the extra mile for your clients? Are you motivatednot only to design solutions but also to implement them? As a flexible andgoal-oriented person, you will quickly assume entrepreneurial responsibilitywith us.

Do you appreciate the spirit of a growing international company withSwiss roots and a strong corporate culture? Then we look forward to receivingyour online application at 

Our people are our most valuable asset. They drive our growth and anchor our success. They are experts, thought leaders, and trusted partners of our global clients. The Synpulse OneSpirit is reflected in our people and unrivaled culture of collaboration, inclusion, entrepreneurship, and fun. We are good corporate citizen in our communities and we celebrate success together with our Synpulse crypto token. Client ServingManagement ConsultingExperienced ProfessionalHybrid Develop processes of the ingestion of data using various programming languages, techniques and tools from systems implemented using Oracle, Teradata, SAP, and Hadoop technology stack.
Evaluate and make decisions around dataset implementations designed and proposed by peer engineers.
Build large consumer database models for financial planning & analytics including Balance Sheet, PnL, Cost Analytics and Related Ratios.
Develop ETL, real time and batch data processes feeding into in-memory data infrastructure.
Perform and document data analysis, data validation, and data mapping/design.
Work with clients to solve business problems in fraud, compliance and financial crime and present project results.
Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
Collaborate on scalability issues involving access to massive amounts of data and information.
You should be comfortable with working with high profile clients on their sites. Bachelor’s Degree in Computer Science, Physics, Mathematics, or similar degree or equivalent.
Experience with open source big-data tools, such as Spark, Hadoop, and specially Scala.
Quantexa Certification preferred.
2-6 years of experience working in the Financial Services sector on big data project implementations.
Client facing experience, good communication and presentation skills. 
Enthusiasm to learn and develop emerging technologies and techniques.
Strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.  Full-time

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