Data Engineer

Hivelabs Technologies; Taguig; On-site; PHP 1,200,000 - 1,600,000; Full time

Job summary

Hivelabs Technologies is seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures. The role involves transforming raw data into actionable insights and requires at least 5 years of experience, strong proficiency in Python and SQL, and knowledge of cloud platforms like AWS, Azure, or GCP. The candidate must be adept in ETL/ELT processes, with familiarity in data warehousing solutions and Linux/Unix environments. Join a dynamic team in Metro Manila to drive data-driven decision making.

Qualifications

• At least 5 years of experience in Data Engineering or related field.
• Strong knowledge of Python and SQL.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience in ETL/ELT processes and data pipelines.
• Familiarity with data warehousing solutions.
• Experience with Linux/Unix environments.
• Knowledge of version control (Git) and CI/CD is a plus.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Build and optimize data architectures and data warehouses.
• Ensure data quality, integrity, and security.
• Work closely with cross-functional teams.
• Optimize data workflows for performance and scalability.
• Monitor and troubleshoot data systems and pipelines.

Skills

Python

SQL

Data Engineering

ETL/ELT processes

Cloud platforms (AWS, Azure, GCP)

Data warehousing solutions

Linux/Unix

Git and CI/CD

Job description

Job Overview

We are looking for a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will play a key role in transforming raw data into actionable insights, supporting data-driven decision-making across the organization.

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL processes
• Build and optimize data architectures and data warehouses
• Ensure data quality, integrity, and security
• Work closely with cross-functional teams (analysts, developers, stakeholders)
• Optimize data workflows for performance and scalability
• Monitor and troubleshoot data systems and pipelines
• Mentor junior data engineers (if applicable)

Qualifications

• At least 45 years of experience in Data Engineering or related field
• Strong knowledge of Python and SQL
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience in ETL/ELT processes and data pipelines
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Experience with Linux/Unix environments
• Knowledge of version control (Git) and CI/CD is a plus
• Strong analytical and problem-solving skills