Senior Data Engineer

HRTX; Taguig; On-site; PHP 669,600 - 1,004,400; Full time

Job summary

A technology consulting firm in Metro Manila is seeking a Data Engineer to lead technical development for SAP engagements. The ideal candidate will have 3-5 years of experience in Data Engineering and hands-on expertise with cloud tools like Azure and AWS. This role involves gathering business requirements, delivering technical designs, and supporting users in resolving incidents.

Qualifications

• 3-5 years experience with Data Engineering including data analytics, ingestion, migration, and processing.
• Hands-on experience with Big Data or Cloud Data tools required.
• Exposure with AI or Machine Learning is a plus.

Responsibilities

• Lead/support teams in technical development for SAP engagements.
• Gather business requirements for technical development.
• Deliver technical designs based on business needs.
• Support end users in resolving reported incidents.

Skills

Data Engineering

Data Analytics

Ingestion

Processing

Big Data Tools

Cloud Data Tools

Python

Scala

Hadoop

AI

Machine Learning

Tools

Azure Databricks

AWS

PySpark

Job description

Responsibilities

• Lead/support teams in the technical development and for SAP engagements
• Hold sessions with end users and/or functional consultants to gather business requirements for technical development
• Deliver technical design based on the business requirements
• Develop technical design documents based on functional design documents
• Prepare quality deliverables as per designated project timelines
• Prepare unit test cases for technical components
• For support engagements, support end users in resolving the reported incidents within prescribed SLA
• Acts as liaison with client for troubleshooting issues faced during implementation and/or support - investigate, analyze and solve software problems

Qualifications

• At least 3-5 years experience with Data Engineering - includes extensive experience on data analytics, ingestion, migration and processing
• Hands on experience with Big Data or Cloud Data tools (Azure Databricks, AWS, PySpark)
• Exposure with AI or Machine Learning
• Experience with Python, Scala, or Hadoop