Data Engineer

Nezda Technologies, Inc.; Taguig; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

Nezda Technologies, Inc. is seeking a Senior Data Engineer in Manila’s BGC area to design and build scalable data pipelines and data models for the in-house data warehouse.

You will partner with business and IT stakeholders to deliver reliable, high-quality data assets for BI and analytics. The role requires 3–6 years in data engineering, strong Java/Python skills, and hands-on experience with Snowflake, PostgreSQL and AWS tools.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related quantitative discipline from a top-tier university
• 3–6 years of experience in data engineering or a similar role, preferably in the financial industry
• Strong understanding of Enterprise Agile frameworks (e.g., Kanban, SAFe, SCRUM)
• Solid understanding of ETL, data warehousing, BI (e.g., Qlik), and advanced data analytics concepts
• Deep knowledge of cloud-enabled technologies such as AWS RDS, AWS Fargate, etc.
• Experience with Snowflake, PostgreSQL, and MS SQL databases
• Strong programming skills with Java and/or Python
• Experience with ETL tools such as AWS Glue
• Excellent analytical and communication skills
• AWS Data Engineer Specialty or AWS Solutions Architect Associate (Preferred)
• SnowPro Core Certification (Preferred)

Responsibilities

• Analyze data to generate BI and advanced analytics datasets
• Design data pipelines to curate data into the in-house data warehouse
• Develop data marts for dataset consumption by business and IT
• Design data model changes aligned with warehouse standards
• Plan migration to the in-house data warehouse
• Perform regular housekeeping of raw data and warehouse content
• Build and maintain data pipelines and platforms
• Develop data solutions to support evolving business needs
• Enhance data quality and reliability
• Promote data engineering standards and best practices

Skills

Data engineering

Cloud platforms

ETL/BI concepts

Java/Python

SQL/Data warehouses

Team communication

Education

Bachelor’s/Master’s in CS/IT/Engineering

Tools

Snowflake

PostgreSQL

MS SQL

Qlik

AWS Glue

AWS RDS

AWS Fargate

Job description

Senior Data Engineer

Job Location: BGC, Mnl

Responsibilities:

Design

• Analyze internally and externally sourced raw data to generate BI and advancedanalytics datasets based on stakeholder requirements
• Design data pipelines to curate sourced data into the in-house data warehouse
• Develop data marts to facilitate dataset consumption from the in-house datawarehouse by business and IT stakeholders
• Design data model changes in alignment with in-house data warehouse standards
• Define and plan migration execution activities to transition data from existingdatabase solutions to the in-house data warehouse

Engineer

• Perform regular housekeeping of raw data and data stored in the in-house datawarehouse
• Build and maintain data pipelines and data platforms
• Develop data solution prototypes to support evolving business needs
• Explore methods to enhance data quality and reliability
• Identify and pursue opportunities to acquire higher-quality raw data
• Develop analytical tools to support BI and advanced analytics activities
• Execute data migration from existing databases to the in-house data warehouse
• Promote and champion data engineering standards and best-in-class methodologies

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology,Engineering, or a related quantitative discipline from a top-tier university
• 3-6 years of experience in data engineering or a similar role, preferably in the financialindustry
• Strong understanding or hands-on experience with Enterprise Agile frameworks (e.g.,Kanban, SAFe, SCRUM)
• Solid understanding of ETL, data warehousing, BI (e.g., Qlik), and advanced dataanalytics concepts
• Deep knowledge of cloud-enabled technologies such as AWS RDS, AWS Fargate,etc.
• Experience with databases and data warehouses including Snowflake, PostgreSQL,and MS SQL
• Strong programming skills with advanced knowledge of Java and/or Python
• Practical experience with ETL tools such as AWS Glue
• Excellent critical thinking, analytical, and problem-solving skills
• Strong communication skills with a team-oriented mindset
• Certified in AWS Data Engineer Specialty or AWS Solutions Architect Associate(Preferred)
• Snowflake SnowPro Core Certification(Preferred)