677 Hadoop Developer jobs in Singapore

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JONDAVIDSON PTE. LTD. is seeking a Senior Executive with 3 years of experience in Information Technology.

Location: CT HUB, 2 KALLANG AVENUE

Job Type: Full Time

Salary: $8,000 to $10,000 Monthly

Closing Date: 30 Oct 2025

• 3 years of experience in Bigdata / Hadoop development
• Experience with Hadoop, Shell Scripting, ETL, Data Integration, MapReduce, JUnit, SQL, Java, and Active Directory
• Troubleshooting and TDD skills are a plus

This progressive employer supports Flexible Work Arrangements and Contracting with Self-employed Persons.

• Minimum 3 - 4 years of experience.
• Good in SQL
• Must have knowledge in Spark & Hadoop
• Good communication skills
• Having Banking knowledge is added advantage.
• Writing scalable, robust,testable, efficient and easily maintainable code
• Translating software requirements into stable, working, high performance software

• Develop, optimize, and maintain SQL queries and stored procedures.
• Work with large datasets using Hadoop ecosystem tools such as HDFS, Hive, Pig, and Spark.
• Design and implement data processing pipelines using Spark (PySpark/Scala).
• Collaborate with cross-functional teams to understand data requirements.
• Ensure data quality, integrity, and performance in all data operations.
• Troubleshoot and resolve data-related issues.
• Participate in code reviews and contribute to best practices.

• 3–4 years of hands-on experience in SQL development.
• Strong understanding of Hadoop ecosystem (HDFS, Hive, Pig, etc.).
• Experience with Apache Spark (preferably PySpark or Scala).
• Proficient in data analysis and data transformation techniques.
• Excellent problem-solving and debugging skills.
• Good communication and interpersonal skills.

• Experience in the banking or financial services domain.
• Familiarity with data visualization and reporting tools.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore ( )

This is in partnership with the Employment and Employability Institute Pte Ltd ("e2i").

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore's PDPA and e2i's PDPA

We are seeking a highly skilled professional with strong expertise in SQL, Spark, and Hadoop. The ideal candidate should have 3–4 years of experience working with large datasets and distributed systems. Experience in the banking domain will be considered an added advantage.

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work with large datasets using SQL, Spark, and Hadoop frameworks.
• Ensure data quality, consistency, and availability across systems.
• Collaborate with cross-functional teams to understand requirements and deliver data solutions.
• Optimize queries and processes for improved performance.
• Communicate effectively with stakeholders and provide regular updates.

• Minimum 3–4 years of experience in data engineering or related roles.
• Strong proficiency in SQL .
• Hands-on experience with Spark and Hadoop .
• Excellent communication skills (both written and verbal).
• Banking domain knowledge (added advantage).

• Experience in ETL tools or data pipeline frameworks .
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Python or Scala for data processing.
• Ability to work independently and in a team environment.

• Must have minimum 3 - 5 years of software development experience.

• Must have good experience in SQL development

• Must have knowledge in Spark & Hadoop

• Good communication skills

• Having Banking knowledge is added advantage.

• Excellent problem-solving and analytical skills, with the ability to quickly diagnose and resolve complex technical issues

• Minimum 3 - 4 years of experience.
• Good in SQL
• Must have knowledge in Spark & Hadoop
• Good communication skills
• Having Banking knowledge is added advantage.
• Writing scalable, robust, testable, efficient and easily maintainable code
• Translating software requirements into stable, working, high performance software

· Must have minimum 3 - 5 years of software development experience.

· Must have good experience in SQL development

· Must have knowledge in Spark & Hadoop

· Good communication skills

· Having Banking knowledge is added advantage.

· Excellent problem-solving and analytical skills, with the ability to quickly diagnose and resolve complex technical issues

• Minimum 3 - 4 years of experience.
• Good in SQL
• Must have knowledge in Spark & Hadoop
• Good communication skills
• Having Banking knowledge is added advantage.
• Writing scalable, robust, testable, efficient and easily maintainable code
• Translating software requirements into stable, working, high performance software

· Must have minimum 3 - 5 years of software development experience.

· Must have good experience in SQL development

· Must have knowledge in Spark & Hadoop

· Good communication skills

· Having Banking knowledge is added advantage.

· Excellent problem-solving and analytical skills, with the ability to quickly diagnose and resolve complex technical issues