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Data Engineer (SQL, Python, Spark, Hive, Hadoop) Job Opening In Singapore, Singapore – Now Hiring Unison Group


Job description

Role Overview

We are looking for a skilled Data Engineer with 5 years of hands-on experience in designing, developing, and optimizing big data pipelines and solutions.

The ideal candidate will have strong expertise in SQL, Python, Apache Spark, Hive, and Hadoop ecosystems and will be responsible for building scalable data platforms to support business intelligence, analytics, and machine learning use cases.

Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines using Spark, Hive, and Hadoop.

  • Write efficient SQL queries for data extraction, transformation, and analysis.

  • Develop automation scripts and data processing workflows using Python.

  • Optimize data pipelines for performance, reliability, and scalability.

  • Work with structured and unstructured data from multiple sources.

  • Ensure data quality, governance, and security throughout the data lifecycle.

  • Collaborate with cross-functional teams (Data Scientists, Analysts, and Business stakeholders) to deliver data-driven solutions.

  • Monitor and troubleshoot production data pipelines.

Requirements

Required Skills & Qualifications

  • 5+ years of experience in Data Engineering / Big Data development.

  • Strong expertise in SQL (query optimization, performance tuning, stored procedures).

  • Proficiency in Python for data manipulation, scripting, and automation.

  • Hands-on experience with Apache Spark (PySpark/Scala) for large-scale data processing.

  • Solid knowledge of Hive for querying and managing data in Hadoop environments.

  • Strong working knowledge of Hadoop ecosystem (HDFS, YARN, MapReduce, etc.).

  • Experience with data pipeline orchestration tools (Airflow, Oozie, or similar) is a plus.

  • Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.

  • Excellent problem-solving, debugging, and communication skills.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Singapore, Singapore, highlighting market share and opportunities for professionals in Data Engineer roles.

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Are You Looking for Data Engineer (SQL, Python, Spark, Hive, Hadoop) Job?

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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 Unison Group 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 (SQL, Python, Spark, Hive, Hadoop) 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.

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Unison Group interview tips for Data Engineer (SQL, Python, Spark, Hive, Hadoop)

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Before the Interview:

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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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To prepare for your Data Engineer (SQL, Python, Spark, Hive, Hadoop) interview at Unison Group, research the company, understand the job requirements, and practice common interview questions.

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