Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Engineering Lead.
Singapore Jobs Expertini

Urgent! Data Engineering Lead Job Opening In Singapore, Singapore – Now Hiring Citi

Data Engineering Lead



Job description

The Engineering Lead Analyst is a senior level position responsible for leading a variety of engineering activities including the design, acquisition and deployment of hardware, software and network infrastructure in coordination with the Technology team.

The overall objective of this role is to lead efforts to ensure quality standards are being met within existing and planned framework.

Responsibilities:

  • Strategic Leadership: Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy.

    This includes understanding the data needs of portfolio managers, investment advisors, and other stakeholders in the wealth management ecosystem.

  • Team Management: Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.

  • Architecture and Design: Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data.

    This includes designing solutions for handling large volumes of structured and unstructured data from various sources.

  • Technology Selection and Implementation: Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data.

  • Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data.

  • Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting.

  • Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data.

Qualifications:

  • 10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks.

  • 4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
  • Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
  • Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
  • Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
  • Experienced in working with large and multiple datasets and data warehouses
  • Experience building and optimizing 'big data' data pipelines, architectures, and datasets.

  • Strong analytic skills and experience working with unstructured datasets
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
  • Experience with external cloud platform such as OpenShift, AWS & GCP
  • Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos)
  • Experienced in integrating search solution with middleware & distributed messaging - Kafka
  • Highly effective interpersonal and communication skills with tech/non-tech stakeholders.

  • Experienced in software development life cycle and good problem-solving skills.

  • Excellent problem-solving skills and strong mathematical and analytical mindset
  • Ability to work in a fast-paced financial environment

Education:

  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

-

Job Family Group:

Technology

-

Job Family:

Systems & Engineering

-

Time Type:

Full time

-

Most Relevant Skills

Please see the requirements listed above.

-

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

-

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi's EEO Policy Statement and the Know Your Rights poster.


Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Data Engineering Potential: Insight & Career Growth Guide


  • Real-time Data Engineering Jobs Trends in Singapore, Singapore (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineering in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 8326 jobs in Singapore and 7542 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Data Engineering Lead Job?

    Great news! is currently hiring and seeking a Data Engineering Lead to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • 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 Citi adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying Singapore laws and regulations
  • What Is the Average Salary Range for Data Engineering Lead 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 Engineering Lead?

    Key qualifications for Data Engineering Lead typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Data Engineering Lead?

    To improve your chances of getting hired for Data Engineering Lead, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Data Engineering Lead Job Success
    Citi interview tips for Data Engineering Lead

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

    Before the Interview:
    • Research: Learn about the Citi'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.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Data Engineering Lead interview at Citi, 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 Citi'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!

  • How to Set Up Job Alerts for Data Engineering Lead Positions

    Setting up job alerts for Data Engineering Lead is easy with Singapore Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!