Data Operations Specialist

2x; Eastern Manila District; Híbrido; PHP 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work setup

Descripción de la vacante

2X Philippines is seeking a Data Operations Specialist in Ortigas East Pasig to link marketing data sources with analytics solutions. The role focuses on ingesting, transforming, and storing data to produce trusted data assets for analysts and stakeholders.

The candidate will work with cloud data warehouses, APIs, Python, and modern transformation frameworks (dbt/Dataform) with exposure to AI-enabled data analytics. A hybrid setup and US shift coordination are expected.

Formación

• 3+ years of analytics engineering, data engineering, data operations, or similar hands-on data role.

Responsabilidades

• Design, build, and support reliable data pipelines, warehouses, data models, and reusable data products for marketing performance analysis.
• Develop data ingestion from marketing, CRM, advertising, and other systems using connectors.
• Create API-based data extraction with authentication, pagination, and incremental loading into cloud warehouses.
• Develop and maintain modular SQL transformation workflows with dbt or Dataform.
• Use Python for API integration, data processing, validation, automation, and reusable data engineering tasks.
• Translate business needs into scalable data designs and reusable models.
• Design dimensional models, facts, and analytic data marts.
• Implement data quality checks, tests, and monitoring for production data products.
• Use Git and code reviews for production data transformations.

Conocimientos

SQL

Python

REST APIs

Data Modeling

Cloud Data Warehouses

dbt

Dataform

Git

ETL

Educación

Bachelor’s degree in Information Technology, Engineering, Data Analytics

Herramientas

dbt

Dataform

BigQuery

Stitch/Fivetran

Descripción del empleo

Group Company:

2X Philippines

Designation:

Data Operations Specialist

Office Location:

Ortigas East Pasig (Office)

Position description:

The Data Operations Specialist serves as a crucial link between marketing data sources and the analytics solutions that depend on them. The role requires the ability to understand different data structures and design reliable data ingestion, transformation, modelling and storage solutions that turn raw marketing data into trusted, reusable data products for analysts and business stakeholders.

The role also requires hands‑on experience working with cloud data warehouses, APIs, Python and modern transformation frameworks such as dbt or Dataform. Exposure to building AI‑enabled data or analytics solutions is an advantage.

Primary Responsibilities

• Design, develop, and support reliable data pipelines, warehouses, data models, and reusable data products to support marketing performance analysis and reporting.
• Build and maintain data ingestion from marketing, CRM, advertising and other business systems using managed connectors where appropriate.
• Develop custom API‑based data extraction when managed connectors are unavailable or insufficient, including authentication, pagination, incremental extraction, error handling and loading data into the cloud data warehouse.
• Develop and maintain modular SQL transformation workflows using dbt, Dataform, or equivalent transformation frameworks.
• Use Python for API integration, data processing, validation, automation and reusable data‑engineering workflows
• Translate business and reporting requirements into scalable technical designs and reusable data models.
• Design and maintain dimensional models, facts, dimensions and analytical data marts.
• Implement data‑quality checks, testing, documentation and monitoring to ensure production data products remain reliable.
• Use Git and code‑review practices to manage changes to production data transformations and engineering workflows.

Required Qualifications

• 3+ years of experience in analytics engineering, data engineering, data operations, or a related hands‑on data role.
• Bachelor’s degree in Information Technology, Engineering, Data Analytics, or a related discipline/ equivalent practical experience.
• Advanced SQL skills to build and optimize reusable transformations, facts, dimensions, and analytical data models.
• Strong hands‑on Python skills for data integration, API interaction, data processing, validation, and automation.
• Hands‑on experience extracting and processing data from REST APIs, including authentication, pagination, JSON responses, and error handling.
• Hands‑on experience with dbt, Dataform, or an equivalent SQL‑based transformation framework, including modular modelling, dependency management, testing, and version‑controlled development.
• Hands‑on experience with GCP and BigQuery, including working with cloud‑based datasets, transformations, and analytical data models.
• Experience with managed ingestion tools such as Stitch, Fivetran, or equivalent for extracting and loading data from source systems.
• Experience working with marketing, CRM, and marketing‑automation platforms such as Salesforce, HubSpot, Marketo, Pardot, or equivalent, with an understanding of their underlying data structures.
• Strong knowledge of schema design and dimensional data modelling.
• Working knowledge of Git and code‑review workflows for managing changes to production data solutions.
• Strong understanding of data‑quality, testing, documentation, monitoring, and other modern data‑engineering practices required to maintain reliable production data products.
• Proven experience translating business and reporting requirements into scalable technical data solutions.
• Strong command of English and comfortable participating in client‑facing meetings with US stakeholders.
• Excellent writing, communication and presentation skills.
• Amenable to Hybrid set‑up and US shift schedule.