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Analyst, Database and Big Data Administration

Melco Resorts & Entertainment Open
Macau SAR Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Melco Resorts & Entertainment. Macau SAR · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationMacau SAR
EmploymentFull-time
PostedOct 28, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Keep databases, ETL interfaces and data warehouses running through daily monitoring, analysis, patching and administration
  • Automate routine upkeep, capacity planning, backups and scheduled jobs across database and warehouse systems
  • Deploy databases in development, UAT and production, then help application specialists and developers resolve faults and tune performance
  • Maintain high availability and disaster recovery, while enforcing operational standards and documenting system setup and care

What you bring

  • At least two years administering or developing enterprise databases such as MS SQL, MongoDB or MySQL
  • Working knowledge of Windows, Linux, Unix and SQL
  • A bachelor's degree or equivalent relevant qualification, plus the ability to communicate in English

Who this fits

This role suits someone comfortable supporting enterprise IT operations around the clock, working independently under pressure and coordinating with IT colleagues. The position is based in Macau and covers database, ETL and warehouse operations.

From the employer

REQ15073 Analyst, Database and Big Data Administration (Open)

POSITION SUMMARY:

The successful candidate will work as a part of system operations team to perform daily database, data interface/ETL and data warehouse support of the company’s global IT operations.

PRIMARY RESPONSIBILITIES:

  • Provide Enterprise IT 24x7 database, data interface/ETL and data warehouse operations support
  • Perform daily monitoring, analysis, patch management and administration on databases, data interface/ETL and data warehouse.
  • Work with different IT teammates to ensure optimal performance and minimal database issues.
  • Automate database and data warehouse housekeeping and monitoring, including capacity management/planning, backup and job scheduling.
  • Set up and deploy databases in Development, UAT, and Production environment.
  • Assist application support specialist and developers for troubleshooting and performance tuning.
  • Prepare and update relevant documentation for installation, configuration and administration of the databases, data interface/ETL and data warehouse.
  • Maintain High-Availability and Disaster Recovery on database, data interface/ETL and data warehouse platform.
  • Enforce database standards, guidelines and operational policies and procedures in accordance to SOX/ISO20000/ISO27001/ITIL standards

QUALIFICATIONS:

Experience

  • 2+ years hands-on experience in enterprise database environment e.g. MS SQL, MongoDB, and MySQL database administration and/or development.
  • Possess good working knowledge of Window, Linux, Unix, SQL.
  • Knowledge and hands-on experience on enterprise cloud environment and virtualization technology will be an advantage, e.g. AWS, Azure, Google Cloud Platform, VMWare etc.
  • Experience on supporting enterprise data integration platform and business intelligence analytics tool will be a definite advantage, e.g. YellowBrick, Tableau, and Power BI etc.
  • Gaming industry exposure will be an advantage.

Education

  • Bachelor's Degree or equivalent relevant qualifications
  • Microsoft DBA certifications, or equivalent will be an advantage

Skills / Competencies

  • Good problem-solving, interpersonal and analytical skills
  • Able to work under pressure and tight schedule, independently and proactively
  • Able to communicate with English
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.