Senior Data Engineer: Scalable Pipelines & Data Platforms

Hivelabs Technologies

Taguig

On-site

PHP 1,200,000 - 1,600,000

Full time

14 days+
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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

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.
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