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Data Engineer Job Opening In Singapore, Singapore – Now Hiring Synpulse Schweiz AG


Job description

We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia and India.

We are a valued partner to many of the world‘s largest international financial services and insurance firms.

We support our clients at all project management stages from the development of strategies and operational frameworks to the technical implementation and handover.

Our expertise in business and technology combined with our methodic approach enable us to create sustainable added value for our clients business.

About the job: 

  • While Synpulse Singapore has a hybrid work policy, this role involves integrating with client teams and their specific work arrangements for successful project delivery.

    We look for candidates who can seamlessly adapt.

  • This role’s placement, which could be contractual, depends on your skillset, interview performance and the client project you are assigned to.

    We will provide full details about your client engagement and employment type before your start date.
  • Responsibilities

  • 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, Profit and Loss, 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 
  • 2 to 6 years of experience working in the Financial Services sector on big data project implementations 
  • Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies 
  • Client facing experience, good communication and presentation skills 
  • Strong technical communication skills with demonstrable experience of working in rapidly changing client environments 
  • Why us:

  • Flexible working hours with part-time working models and hybrid options
  • Attractive fringe benefits and salary structures in line with the market
  • Modern and central office space with good public transport connections
  • Can-do mentality and one-spirit culture
  • Varied events and employee initiatives
  • Your documents to start the process:

  • Resume
  • Job references
  • Qualifications (bachelor/ master diploma, etc.) with certificate of grades
  • Motivation letter: Why Synpulse?

    Why you?

    Why this function?
  • Recommendation letters (optional)
  • Do you approach your tasks with commitment and enjoyment and are you convinced that teamwork achieves better results than working alone?

    Are you proactive and willing to go the extra mile for your clients?

    Are you motivated not only to design solutions but also to implement them?

    As a flexible and goal-oriented person, you will quickly assume entrepreneurial responsibility with us.
     
    Do you appreciate the spirit of a growing international company with Swiss roots and a strong corporate culture?

    Then we look forward to receiving your 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 Serving
    Management Consulting
    Experienced Professional
    Hybrid
  • While Synpulse Singapore has a hybrid work policy, this role involves integrating with client teams and their specific work arrangements for successful project delivery.

    We look for candidates who can seamlessly adapt.

  • This role’s placement, which could be contractual, depends on your skillset, interview performance and the client project you are assigned to.

    We will provide full details about your client engagement and employment type before your start date.
  • Responsibilities

  • 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, Profit and Loss, 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 
  • 2 to 6 years of experience working in the Financial Services sector on big data project implementations 
  • Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies 
  • Client facing experience, good communication and presentation skills 
  • Strong technical communication skills with demonstrable experience of working in rapidly changing client environments 

  • Full-time

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Synpulse Schweiz AG adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Singapore laws and regulations

    What Is the Average Salary Range for Data Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Engineer?

    Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Engineer Job Success

    Synpulse Schweiz AG interview tips for Data Engineer

    Here are some tips to help you prepare for and ace your Data Engineer job interview:

    Before the Interview:

    Research: Learn about the Synpulse Schweiz AG's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Final Thought:

    To prepare for your Data Engineer interview at Synpulse Schweiz AG, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Synpulse Schweiz AG's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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