278 Big Data jobs in Singapore

We're looking for a seasoned Big Data Engineering Lead with expertise in Scala, Python, and PySpark to lead our client data engineering team. You'll be responsible for designing and implementing scalable, efficient, and fault-tolerant data pipelines, as well as mentoring team members and driving technical innovation.

Key Responsibilities:

1. Design and develop large-scale data pipelines using Scala, Python, and PySpark
2. Lead and mentor a team of data engineers to build and maintain data architectures
3. Collaborate with cross-functional teams to identify data requirements and implement data-driven solutions
4. Ensure data quality, integrity, and security across all data pipelines
5. Develop and maintain technical documentation for data pipelines and architectures
6. Stay up-to-date with industry trends and emerging technologies in big data, cloud computing, and data engineering
7. Drive technical innovation and recommend new tools and technologies to improve data engineering capabilities

Requirements:

1. 5+ years of experience in big data engineering, with expertise in Scala, Python, and PySpark
2. Strong experience with big data technologies such as Apache Spark, Hadoop, and Kafka
3. Experience with cloud-based data platforms such as AWS, GCP, or Azure
4. Strong understanding of data architecture, data governance, and data security
5. Excellent leadership and mentoring skills, with experience leading high-performing teams
6. Strong communication and collaboration skills, with ability to work with cross-functional teams
7. Bachelor's or Master's degree in Computer Science, Engineering, or related field

My Client

It is a global cryptocurrency exchange dedicated to providing secure, efficient, and innovative digital asset trading services. The platform offers a wide range of services, including spot trading, derivatives trading, and wealth management. They are looking for experienced and motivated Mobile app developer to join the dynamic team. The role involves working closely with other developers, designers, and product managers to create high-quality, user-friendly mobile apps that deliver exceptional user experiences.

Key Responsibilities:

• Develop scalable data processing architectures using Hadoop, Flink, and other Big Data tools.
• Implement and optimize data ingestion, transformation, and analysis pipelines.
• Design efficient data storage and retrieval mechanisms to support analytical needs.
• Work closely with business stakeholders to translate requirements into technical solutions.
• Ensure data quality, security, and compliance with industry standards.
• Identify and resolve performance bottlenecks in data processing systems.
• Keep up with advancements in Big Data technologies and recommend improvements.

Requirements:

• Degree in Computer Science, Information Technology, or a related field.
• 3+ years of hands-on experience in Big Data engineering.
• Proficiency in Hadoop, Flink, Kafka, and related frameworks.
• Experience with database modeling and large-scale data storage solutions.
• Strong understanding of data security best practices.
• Excellent analytical and troubleshooting skills.
• Effective communication and teamwork capabilities.
• A proactive mindset with a passion for data-driven innovation.

If it sounds like your next move, please don't hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

EA Registration Number: R

Business Registration Number: W. Licence Number: 18S9037

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa. About the team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users.

We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.

• Design and implement a reasonable offline data architecture for large-scale recommendation systems
• Design and implement flexible, scalable, stable and high-performance storage and computing systems
• Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
• Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
• Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

Minimum Qualifications

• Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience
• Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
• Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang
• Effective communication skills and a sense of ownership and drive
• Experience of Peta Byte level data processing is a plus

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate will have a minimum of 5 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.

SKILLS SET AND TRACK RECORD

• Good understanding and completion of projects using waterfall/Agile methodology.
• Analytical, conceptualisation and problem-solving skills.
• Good understanding of analytics and data warehouse implementations
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica
• Strong SQL and data analysis skills. Hands-on experience in data virtualisation tools like Denodo will be an added advantage
• Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is preferred
• Track record in implementing systems using Cloudera Data Platform will be an added advantage.
• Motivated and self-driven, with ability to learn new concepts and tools in a short period of time
• Passion for automation, standardization, and best practices
• Good presentation skills are preferred

The developer is responsible to:

• Analyse the Client data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Client technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues

We are a data-driven organization that aims to inspire creativity and bring joy to our users. Our mission is to help people authentically express themselves, discover and connect with others.

We have a global presence with offices in various locations around the world. Our teams are diverse and inclusive, making us a great place to work for those who share our values.

• Flat organizational structure
• Career growth opportunities
• Positive team atmosphere

As a Big Data Engineer, you will be working closely with cross-functional teams to understand data requirements and deliver data solutions that meet business needs. You will be responsible for designing, building and optimizing scalable data pipelines, ensuring data integrity and accuracy.

About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Job highlights
Positive team atmosphere, Flat organization, Industry experts
Responsibilities
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.
About the team
Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.
Responsibilities
- Design and implement a reasonable offline data architecture for large-scale recommendation systems
- Design and implement flexible, scalable, stable and high-performance storage and computing systems
- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
- Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
- Visualise, interpret, and report data findings and may create dynamic data reports as well
Qualifications
Minimum Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with at 3+ years of experience
- Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
- Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang
- Effective communication skills and a sense of ownership and drive
- Experience of Peta Byte level data processing is a plus

As a data processing specialist, you will be responsible for developing and maintaining large-scale data processing systems using SQL and Hadoop technologies.

Your key responsibilities will include:

• Designing and implementing efficient data processing workflows using SQL and Hadoop
• Developing and deploying scalable data pipelines using big data technologies
• Collaborating with cross-functional teams to integrate data solutions into business applications
• Analyzing complex technical issues and providing creative solutions

To succeed in this role, you will need:

• 3-5 years of software development experience
• Good experience in SQL development
• Knowledge in Spark and Hadoop
• Excellent problem-solving and analytical skills

Having banking knowledge is an added advantage.

This position offers opportunities for growth and professional development in a dynamic environment. If you are passionate about working with big data and SQL technologies, we encourage you to apply.

Job Overview

We are seeking a seasoned Technical Architect to drive the design and implementation of our big data platform.

Deliver high-quality big data solutions for clients across various industries by working with our team as a skilled and experienced SQL & Hadoop Developer.

We are looking for an individual with excellent problem-solving skills, able to communicate effectively and possessing a strong understanding of SQL and Hadoop.

The ideal candidate should have at least 3-4 years of experience in this field.

Key qualifications include good knowledge of SQL, Spark, and Hadoop, as well as good communication skills. Having banking knowledge is an added advantage.

• Job Title: SQL & Hadoop Developer
• Location: Singapore
• Experience: Minimum 3-4 years of experience.

Key Skills: Good in SQL, Must have knowledge in Spark & Hadoop, Good communication skills, Having Banking knowledge is added advantage.

Avensys is a global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation, and managed services.

As a dynamic and innovative team, we deliver high-quality solutions for clients across various industries. We look for passionate individuals who want to be part of our team and contribute to the success of our projects.

Tell Employers What You Can Do
Managed Services
Business Intelligence
Process Automation
Big Data
Pipelines
Healthcare
Hadoop
Supply Chain
Information Technology
MapReduce
SQL
Good Communication Skills
Banking
Consulting
Business Process
Professional Services