Full Stack Developer

March 28, 2025
$7500 - $9000 / month
• 12 days annual leave, 14 days medical leave, 11 days of public holiday, medical coverage and hospitalization and surgery as per company policies. • Work Visa will be sponsored. • Working hours: 9 AM – 6:30 PM.
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Job Description

MAIN RESPONSIBITIES

·       Design, develop, and optimize SQL databases and queries to support various applications and reporting needs.

·       Utilize Python for data manipulation, analysis, and automation tasks.

·       Collaborate with stakeholders to understand data requirements and deliver solutions.

·       Develop and maintain ETL (Extract, Transform, Load) processes to ensure data integrity and availability.

·       Implement data quality checks and ensure data accuracy and consistency.

·       Work with .NET technologies to integrate data solutions with existing applications (if applicable).

·       Monitor and troubleshoot data pipelines and workflows to ensure smooth operation.

·       Knowledge of big data technologies (e.g. Hadoop, Spark).

·       Familiarity with version control systems (e.g. Git).

·       Understanding of Agile methodologies.

·       EQ Datamart is a specialized Datamart designed to support the reporting and analytics functions for EQ Department.

·       The ideal candidate is expected to possess strong expertise in SQL and Python. He/she will have experience in designing, implementing, and maintaining robust data solutions. Experience with .NET is a significant plus. This role requires a proactive individual who can work collaboratively with cross-functional teams to support data-driven decision-making processes.

 

REQUIREMENTS

·       Possess a degree in Computer Science/Information Technology or related fields.

·       Proven experience in SQL, including writing complex queries, optimizing performance, and managing databases.

·       Proficiency in Python for data manipulation, analysis, and automation.

·       Experience with .NET technologies is highly desirable.

·       Strong understanding of data warehousing concepts and ETL processes.

·       Familiarity with Cloud platforms (e.g., AWS, Azure, Google Cloud).

·       Detail-oriented, responsible, honest, diligent, and able to work under high pressure.