SalaryPeak

Data Engineer with Tableau & Databricks

ARYAN SOLUTIONS PTE. LTD.
Singapore 3+ years Posted Jan 21, 2026

Salary Range

SGD 90,000 - SGD 114,000 /year

SGD 7,500 - SGD 9,500/month

Apply on MyCareersFuture

Skills Required

Tableaudatabase migrationsDashboardplatform managementMySQLJupyter NotebookDatabricksData GovernanceData EngineeringSQLPython

Job Description

Key Responsibilities

Database Migration Support

• Support end-to-end database migration activities, including data validation, transformation, and reconciliation.

• Assist in migrating data sources that underpin large-scale visualization dashboards.

• Identify and resolve data integrity, performance, and compatibility issues arising from migration.

Data Engineering & Platform Management

• Develop and maintain SQL and Python-based data pipelines using Databricks and Jupyter Notebooks.

• Create and manage Databricks compute clusters and SQL Warehouses; and configure Unity Catalog for data governance and access control.

• Optimize queries and data models to ensure performance and scalability post-migration.

BI & Dashboard Enablement

• Reconfigure, test, and validate Tableau dashboards impacted by database changes.

• Partner with dashboard owners to ensure data accuracy, performance, and functional parity after migration.

• Support ad-hoc analysis and troubleshooting related to Tableau and SpotFire dashboards.

Collaboration & Documentation

• Work closely with Data Analysts, Business Stakeholders, and IT teams.

• Document migration steps, data mappings, and known issues to support knowledge transfer and audit readiness.

• Follow data governance, security, and compliance standards.

• Collaborate with global network/database team to identify, engineer and key data elements in-line with existing needs.

Required Skills & Qualifications

Technical Skills (Mandatory)

• Tableau certification (required; active or recently obtained).

• Strong proficiency in SQL / MySQL for querying, transformation, and validation.

• Hands-on experience with Python for data processing and automation.

• Experience using Databricks, including: Creating and managing compute clusters and SQL Warehouses.

• Working with Unity Catalog

• Experience working with Jupyter Notebooks.