Data Engineer

Cognizant; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Data Engineer to assist with a critical database migration impacting enterprise visualization dashboards. This role involves collaborating with data analytics teams, ensuring data pipeline continuity, and optimizing queries post-migration. Candidates should have strong proficiency in SQL and hands-on experience with tools like Python, Databricks, and Tableau. The ideal candidate will effectively document processes and adhere to data governance standards. Competitive compensation and growth opportunities are offered.

Qualifications

• Strong proficiency in SQL/MySQL for querying, transformation, and validation.
• Hands-on experience with Python for data processing and automation.
• Experience using Databricks, including managing clusters and SQL Warehouses.

Responsibilities

• Support end-to-end database migration activities, including data validation and reconciliation.
• Develop and maintain SQL and Python-based data pipelines using Databricks.
• Reconfigure and validate Tableau dashboards impacted by database changes.

Skills

Data Engineering

SQL

Python

Databricks

Tableau

Data Pipeline Management

Education

Tableau certification

Tools

Databricks

Jupyter Notebooks

Job description

Role Summary

The Data Engineer will support a critical database migration that impacts hundreds of enterprise visualization dashboards. This role will work closely with the Data Analytics team to ensure data pipeline continuity, dashboard stability, and minimal business disruption during the migration. The role will require the initiative to reach out, liaise and communicate with global network teams to identify, data map and configure connection settings in line with global directive.

The ideal candidate has a strong foundation in data engineering, SQL-based data systems, and BI tools, with hands-on experience in Databricks, Python, and Tableau. This role is execution-focused and suited for someone who can operate independently under guidance from the team lead.

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

• Tableau certification
• 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.

Technical Skills (Nice-to-Have)

• Experience with SpotFire (dashboard development or support).
• Prior involvement in database or platform migration projects.
• Familiarity with manufacturing, biotech, or regulated environments.