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Data Engineer – Data Engineering

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Onsite

Data Engineer – Data Engineering

Gratitude Philippines

Data Engineer – Data Engineering

Skills

SQL QueriesData EngineeringSnowflakeDatabricksData Analysis

16 days ago

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Important information


Contract type:

Permanent

Location:

Manila, Metro Manila, Philippines

Work mode:

Onsite

Published on:

5 October 2026

What they need


Data Engineer – Data Engineering

Location: Manila, Philippines
Work Setup: Onsite
Shift: Shifting Schedule
Experience: Minimum 2 years in Databricks
Salary: Confidential – Discussed during the job offer

Job Overview

We are hiring a Data Engineer with strong hands-on experience in Databricks Unified Data Analytics Platform. The role involves designing scalable data pipelines, ETL/ELT processes, data transformation, performance optimization, and data quality across modern data environments.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Apache Spark and Databricks.
  • Build batch and streaming data workflows.
  • Implement ETL/ELT processes to transform raw data into curated datasets.
  • Optimize SQL queries for speed and efficiency.
  • Design Snowflake schemas and create fact and dimension tables.
  • Implement data access controls and permissions using Unity Catalog.
  • Monitor and optimize data pipelines for performance, scalability, and reliability.
  • Troubleshoot and resolve data-related issues.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Document data processes and workflows.
  • Participate actively in team discussions and technical initiatives.
  • Stay updated with data engineering technologies and best practices.

Required Skills & Experience

  • Minimum 2 years of hands-on experience with Databricks Unified Data Analytics Platform.
  • Expert proficiency in Databricks and Apache Spark.
  • Strong knowledge of data pipeline architecture and implementation.
  • Experience with data integration and transformation techniques.
  • Knowledge of ETL/ELT processes and data modeling.
  • Familiarity with cloud-based data platforms and distributed computing.
  • Experience with SQL optimization, Snowflake schemas, fact and dimension tables.
  • Knowledge of Unity Catalog, data access controls, and permissions.
  • Strong troubleshooting and problem-solving skills.
  • Ability to optimize data workflows for scalability and performance.

Important Information

  • Onsite work in Manila is mandatory.
  • Candidates must be willing to work a shifting schedule.
  • Latest CV must be submitted in PDF format.
  • Salary will be discussed during the job offer.
  • Client name should not be included in job postings.

Mandatory Questionnaire

Please complete the questionnaire using the link below:

**Questionnaire Link:**​https://myglit.com/lateral/cref/c1f2f91b8e

Completion of the questionnaire is mandatory for consideration.

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