Data Engineer

Stratpoint Technologies; Mandaluyong; Hybrid; PHP 670,000 - 1,339,000; Full time

Benefits offered by this job

SSS, Pag-IBIG and Philhealth benefits 

Monthly miscellaneous allowance

13th month pay based on monthly rate

Vacation and Sick leave

Wellness programs such as Wellness WEd

HMO coverage

Team buildings and quarterly events

Friendly intramural competitions

Job summary

Stratpoint Technologies is seeking a data engineer to design, build, and optimize data pipelines feeding the data warehouse. You will collaborate with multiple stakeholders to model data, document requirements, and ensure high data quality and performance.

The role emphasizes agile delivery, cost optimization, and robust data platform practices while supporting L2/L3 operations across tribes. Hybrid work model with collaborative offices in Metro Manila.

Qualifications

• 2–6 years of IT project delivery or data development in Data Warehousing/BI.
• Graduate of IT related courses like BS Computer Science or Information Technology.
• Strong SQL and ETL development experience for data warehousing or BI.
• Experience optimizing data pipelines to meet SLA and reduce cost.

Responsibilities

• Design and develop data pipelines to ingest data into the data warehouse.
• Support and optimize existing pipelines to meet downstream SLAs.
• Attend agile ceremonies as part of the Agile Tribe setup and deliver data ingestion demands.
• Ensure data quality within data warehouse tables.
• Follow data engineering standards: version history, readability, deploys, and post-deployment support.
• Provide L2/L3 support for Data Operations and other tribes when needed.
• Gather data requirements from Tribe demands and document data models.
• Demonstrate technical excellence in the data warehouse platform.

Skills

SQL

ETL development

Python

Java

Scala

R

Big Data

Data Modeling

Data Integration

Data Quality

Data Architecture

Education

Bachelor's degree in IT/CS

Tools

Spark

Databricks

AWS Glue

Athena

Delta Lake

Data Lake

Kafka

Confluent

Job description

Who We Are

We are trusted, modern technology leaders in:

• Agile Software Development
• Quality Assurance
• Cloud Consulting and Managed Services
• Data Engineering and Analytics
• Artificial Intelligence and Machine Learning

Our C.A.R.E. Values

• nourish Creativity
• embody Agility
• manifest Reliability
• pursue Evolution

The Role

The role involves defining and maintaining development practices and standards to improve software delivery speed and quality. Key responsibilities include collaborating with different stakeholders to evaluate and document business and data models, while also assessing tools and technologies to optimize costs and performance.

The Benefits

At Stratpoint, we enjoy the autonomy, lack of bureaucracy, and the freedom to experiment but without the chaos. We’re like a startup but with adult supervision.

You will be supported by capable management of HR, Finance and IT that adheres to the highest standards of integrity and good governance.

Hybrid is our mode of work, but when we need to come together, we have inviting open floor office spaces designed to spark gatherings, collaboration, and camaraderie.

Stratpoint Employees Enjoy

• SSS, Pag-ibig and Philhealth benefits + company contribution
• a monthly miscellaneous allowance
• 13th month pay based on your monthly rate.
• Vacation and Sick leave
• Wellness programs such as Wellness Wednesdays
• HMO coverage
• Team buildings and quarterly events (company outings and festive celebrations for Chinese New Year, Valentines, Halloween and Christmas)
• And, friendly intramural competitions

Your Responsibilities

• Design and develop data pipelines that will ingest the data from the respective source systems into the data warehouse
• Support and optimize existing data pipelines to ensure that the downstream SLAs are met
• Responsible in attending agile ceremonies as part of the Agile Tribe set-up and delivering the different demands of the Tribe related to data ingestions to the data warehouse platform
• Ensures data quality within the data warehouse tables
• Ensures the data engineering standards and practices are followed like code version history, readability, functionality, extendibility, test runs, deployments, and post deployment support
• Supports L2 Data Operations team and act as L3 support
• Manage data storage, computing unit requirements, and data security within the data warehouse
• Gather data requirements coming from Tribe demands
• Supports other data engineers on other Tribes or domains if necessary
• Demonstrate technical excellence when it comes to the data warehouse platform
• Supports stakeholders of the data warehouse platform by solving data related issues and conducting data investigations
• Data Delivery Documentations – Data Dictionary, Data Mapping Documents, Data Models
• Optimize Data Pipelines
• Project delivery and operations support

About You

• Years of Experience: 2 to 6 years of experience in IT project delivery or data development delivery particularly in Data Warehousing or Business Intelligence.
• Graduate of any IT related courses like BS Computer Science, Information Technology or the likes
• Strong SQL and ETL development experience, preferably related to Data Warehousing, Business Intelligence, or other Data Delivery projects.
• Proficiency in optimizing data pipelines in order to meet SLA requirements and save cost
• Experience in Big Data, Hadoop, EMR, Hive, and cloud environments is a plus
• Proficiency in Python, R, Java, Scala is a plus
• Proficiency in data modeling, data integrations, data quality, and data architecture is a plus
• AWS data integrations (Glue, Athena)
• Spark, Databricks
• Delta lake, Data Lake
• Kafka, Confluent, Real-time processing, Data Streaming

The requirements listed in this job description are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark of what we are looking for, we encourage you to submit an application. We look forward to getting to know you more!