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Urgent! Data Engineer ( Spark & Hive) Job Opening In Kuala Lumpur – Now Hiring Unison Group

Data Engineer ( Spark & Hive)



Job description

We are seeking a skilled Data Engineer to join our team in Singapore.

The ideal candidate will have strong expertise in SQL, Python, Spark, and Hive, with hands-on experience building scalable data pipelines, data models, and analytical solutions.

You will work closely with data scientists, analysts, and business stakeholders to deliver high-quality data solutions that support business decision-making.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable data pipelines and ETL processes.

  • Optimize data storage, retrieval, and processing using SQL, Spark, and Hive.

  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

  • Implement data quality, validation, and monitoring processes to ensure reliability.

  • Support data modeling, warehousing, and integration for analytics and reporting.

  • Write clean, efficient, and reusable Python code for automation and data processing.

  • Ensure data security, compliance, and governance across all solutions.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field.

4–7 years of experience as a Data Engineer (or similar role).

Strong proficiency in SQL, Python, Spark, and Hive.

Experience with distributed data processing and big data ecosystems.

Hands-on experience with data pipeline tools (e.g., Airflow, NiFi, or similar) is a plus.

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

Strong problem-solving and communication skills.


Required Skill Profession

Computer Occupations



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