Data Engineer

Dynamic Talent Solutions; Taguig; Ibrido; PHP 620.000 - 827.000; Part-time

Vantaggi offerti da questo lavoro

Health Insurance

HMO

13th Month Pay

Paid Holidays

Work from Home

Descrizione del lavoro

Dynamic Talent Solutions is seeking a Data Engineer for a hybrid role in Taguig. The candidate will design and optimize data pipelines, processing large datasets with Spark and Python, and support analytics initiatives. Strong SQL and ETL/ELT experience are required, with cloud familiarity (AWS/Azure/GCP) considered a plus.

This position offers 3-5 years of experience, part-time hours, and a hybrid setup with work-from-home options in the Philippines.

Competenze

• Experience in Data Engineering.
• Strong hands-on experience with Apache Spark.
• Proficiency in Python.
• Experience building and maintaining ETL/ELT pipelines.
• Strong SQL and data processing skills.
• Cloud platform experience (AWS, Azure, or GCP) is a plus.

Mansioni

• Design, develop, and optimize data pipelines.
• Process and transform large datasets using Spark and Python.
• Support data integration, analytics, and reporting initiatives.
• Ensure data quality, reliability, and performance.

Conoscenze

Data engineering

SQL

ETL/ELT pipelines

Formazione

Bachelor's degree

Strumenti

Apache Spark

Python

AWS

Azure

GCP

Descrizione del lavoro

Hybrid - Taguig 3-5 Yrs Exp Bachelor Part-time

Job Description

Government Mandated Benefits

13th Month Pay, Paid Holidays

Insurance Health & Wellness

Health Insurance, HMO

Work-Life Balance

Work from Home

We're looking for a Data Engineer to join our team and help build scalable, high-performance data solutions. If you have experience working with Spark, Python, and modern data engineering practices, we'd love to hear from you!

Requirements:

Experience in Data Engineering

Strong hands-on experience with Apache Spark

Proficiency in Python

Experience building and maintaining ETL/ELT pipelines

Strong SQL and data processing skills

Cloud platform experience (AWS, Azure, or GCP) is a plus

What You'll Do:

• Design, develop, and optimize data pipelines
• Process and transform large datasets using Spark and Python
• Support data integration, analytics, and reporting initiatives
• Ensure data quality, reliability, and performance

Python Apache Spark SQL AWS