Data Analyst - Python Specialized

Recruitify_HR; Makati; Híbrido; PHP 900 000 - 1 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible schedule

Health insurance

Promotion to permanent employee

Resumo da oferta

Recruitify_HR is seeking a mid-level Analytics/Data Engineer to architect and optimize Python ETL/ELT pipelines for multi-source data extraction. You will design star/snowflake data models powering Power BI reports and automate end-to-end workflows to replace manual tasks.

The role involves data profiling, quality checks, and UAT to ensure reporting accuracy, with a hybrid work setup in Makati.

Qualificações

• Minimum 3 years of professional experience in Analytics Engineering, Data Engineering, or Data Automation.
• Advanced proficiency in writing Python scripts for data manipulation, ETL automation, and data wrangling (Pandas/PySpark/scripting).
• Strong experience writing complex SQL queries, joins, and table transformations (PostgreSQL/SQL Server/MySQL).
• Hands-on experience developing interactive dashboards, data models, and DAX calculations.

Responsabilidades

• Architect, write, and optimize automated Python ETL/ELT scripts and SQL queries for multi-source data extraction.
• Design clean data models (Star/Snowflake Schema) that power high-performance Power BI reports.
• Eliminate manual reporting tasks by building end-to-end automated pipelines and scheduled workflows.
• Conduct data profiling, quality checks, and user acceptance testing (UAT) to guarantee reporting accuracy.

Conhecimentos

Python

SQL

Power BI

ETL scripting

Ferramentas

Pandas

PySpark

PostgreSQL

SQL Server

MySQL

Descrição da oferta de emprego

Key Responsibilities

• Architect, write, and optimize automated Python ETL/ELT scripts and SQL queries for multi-source data extraction.

Key Responsibilities

• Architect, write, and optimize automated Python ETL/ELT scripts and SQL queries for multi-source data extraction.
• Design clean data models (Star/Snowflake Schema) that power high-performance Power BI reports.
• Eliminate manual reporting tasks by building end-to-end automated pipelines and scheduled workflows.
• Conduct data profiling, quality checks, and user acceptance testing (UAT) to guarantee reporting accuracy.

Job Qualifications

• Experience: Minimum 3 years of professional experience in Analytics Engineering, Data Engineering, or Data Automation
• Python (Must-Have): Advanced proficiency in writing Python scripts for data manipulation, ETL automation, and data wrangling (Pandas/PySpark/scripting).
• SQL: Strong experience writing complex queries, joins, and table transformations (PostgreSQL/SQL Server/MySQL).
• Power BI: Hands-on experience developing interactive dashboards, data models, and DAX calculations.

Benefits

• Flexible schedule
• Health insurance
• Promotion to permanent employee
• Work Location: Hybrid remote in Makati