Data Engineer Associate

Talkpush; Taguig; Hybrid; PHP 700,000 - 1,000,000; Full time

Benefits offered by this job

Night differential

Paid time off (PTO)

Annual appraisal

Annual incentive

Hybrid work arrangement

HMO with dependent coverage

Group life insurance

Job summary

Talkpush is seeking a Data Engineer Associate to join our hybrid Manila team. You will design and implement data warehouse solutions, build ETL pipelines in GCP and SQL, and develop analytics tools to support clinical, hospital performance, and corporate metrics.

The role emphasizes cloud-based data engineering with BigQuery, Scala/Java/Python, and modern BI/data workflows in a healthcare context. Night shift with hybrid work setup.

Qualifications

• Bachelor's degree in a technology-related field or equivalent.
• Ability to build and optimize data sets and 'big data' data pipelines.
• Ability to perform root cause analysis on processes and data to identify opportunities.
• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.
• Strong SQL and relational database design/development skills.
• Development experience with cloud-based modern data warehouses such as Google BigQuery or equivalent.
• Experience with relational SQL databases including BigQuery or equivalent, and languages like Scala, Java, and Python.
• Understanding of big data tools like Kafka, Spark; workflow tools such as Airflow.

Responsibilities

• Assembling small to medium complex data sets to meet business requirements.
• Building data pipelines for ETL using GCP and SQL technologies.
• Developing analytical tools to provide actionable insights into key performance metrics.
• Collaborating with data, design, and product teams on data-related issues.
• Participating in unit and system testing and following change control processes.
• Design, develop, and deploy data warehouse solutions using CI/CD.
• Identify data integrity issues and analyze data/process flows for improvements.
• Monitor system performance and optimize query execution plans.
• Work with Integration Architect to develop, test and deploy data pipelines.
• Troubleshoot and maintain existing solutions as required.

Skills

Big data pipelines

SQL & DB design

Cloud data warehouse (BigQuery)

Scala/Java/Python

Kafka/Spark

Airflow

Education

Bachelor's degree

Tools

Kafka

Spark

Airflow

Job description

Work Arrangement

• Night shift work schedule
• Hybrid work setup

Benefits

• 15% Night differential
• 20 Paid Time Off (PTO) per year
• Annual Appraisal
• Annual Incentive
• Hybrid Work Arrangement
• HMO with FREE dependents
• Group life insurance

The Data Engineer Associate is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse. The primary focus of the data warehouse includes data and analytics that support business operations including Clinical, Hospital Performance, and Corporate functions.

This role is cloud facing and requires knowledge in building and managing data engineering code in modern cloud-based technologies such as Google Big Query or equivalent. We are looking for a high energy individual willing to learn and evolve and would like to contribute to high impact healthcare environment.

Primary duties and responsibilities

• Assembling small to medium complex sets of data that meet non-functional and functional business requirements
• Building required data pipelines for optimal extraction, transformation and loading of data from various data sources using GCP and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
• Working with stakeholders including data, design, and product teams and assisting them with data-related technical issues
• Participates in unit and system testing and follow existing change control processes for promoting solutions to production system, escalating issues as needed.
• Design, develop, review, test, and deploy using CI/CD to facilitate the data warehouse solutions.
• Identifies data integrity issues and analyzes data and process flows for process improvement opportunities.
• Monitoring system performance and evaluate query execution plans for improving overall system performance.
• Working with Integration Architect, develop, test and deploy the data pipelines.
• Participate in troubleshooting and maintaining existing solutions as required.

Qualifications

• Bachelors'degree from an accredited college/university in technology related field or equivalent combination of education, training, and experience.
• Ability to build and optimize data sets, 'big data' data pipelines.
• Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
• Strong SQL and relational database design/development skills
• Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent.
• Applicants should have a demonstrated understanding and experience ofrelational SQL databases including Big Query or equivalent, and function/object-oriented scripting languages including Scala, Java and Python.
• Applicants should also have an understanding of software and tools including big data tools like Kafka, Spark; workflow management tools such as Airflow.