Associate Data Engineer-Advanced Analytics

IBM Computing; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A leading technology firm in Singapore is seeking an entry-level Data Engineer to harness data for insightful analysis. The role involves implementing predictive models and collaborating in an Agile setting. Candidates should have strong programming skills in Java, Python, or Scala, and a basic understanding of cloud technologies like AWS. This position offers a tremendous opportunity for professional growth in a diverse environment.

Qualifications

• Basic understanding of Cloud technologies like AWS and Azure.
• Familiarity with ETL tools and data integration techniques.
• Ability to use a variety of programming languages for data pipelines.
• Experience with ETL tools for data preparation.

Responsibilities

• Implement predictive models and create statistical models for big data.
• Design enterprise search applications like Elasticsearch.
• Collaborate in an Agile environment to solve predictive challenges.
• Build data cleansing programs and models.

Skills

Statistical analysis

Machine learning techniques

Programming languages (Java, Python, Scala)

Cloud technology (AWS, Azure)

ETL tools

Linux

SQL

Spark

Hadoop

Tools

Linux

SQL

Spark

Hadoop

Job description

Introduction

In this role you will join IBM Consulting via our world class Associate Program for university hires. As an Associate at IBM Consulting you will have the opportunity to work with a diverse range of clients worldwide. Our clients' technical and business needs are constantly evolving. We're hiring inspired, talented individuals, who believe no problem is too big to solve.

We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your role and responsibilities

As an entry‑level Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real‑time processing.

Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Implementing and validating predictive models as well as creating and maintaining statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
• Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results

Required technical and professional expertise

• Ability to incorporate a variety of statistical and machine learning techniques
• Basic understanding of Cloud (AWS, Azure, etc)
• Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer
• Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed.
• Ability to use leading‑edge tools such as Linux, SQL, Python, Spark, Hadoop and Java

Preferred technical and professional experience

• Basic understanding or experience with predictive/prescriptive modeling skills
• You thrive on teamwork and have excellent verbal and written communication skills.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to ask business and industry questions to identify appropriate modeling techniques
• Ability to communicate results to technical and non‑technical audiences

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.