Gratitude Inc
(ACTIVE) Data Engineer- Data Engineering I Onsite Manila I ATCP-1443903-S425759
- Compensation
- Not disclosed
- Location
- Manila City, Metro Manila
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum 2 years of hands-on experience with Databricks Unified Data Analytics Platform.
- Strong understanding of data pipeline architecture and implementation.
- Experience with data integration, transformation, and ETL/ELT processes.
- Knowledge of Apache Spark and distributed computing.
- Familiarity with cloud-based data platforms.
- Ability to troubleshoot data-related issues efficiently.
- Strong understanding of data workflow optimization, scalability, and performance.
- Willingness to work onsite in Manila on a shifting schedule.
Full description
Data Engineer – Data EngineeringJob Details
- Work Location: Manila, Philippines
- Work Setup: 100% Onsite
- Work Shift: Shifting Schedule
- Salary: Confidential — to be discussed during the job offer
- Minimum Experience: 2+ years
- Key Technology: Databricks Unified Data Analytics Platform
About the Role
Are you passionate about building efficient data pipelines and transforming complex data into valuable insights? We are looking for a skilled Data Engineer with hands-on experience in Databricks to design, develop, and maintain scalable data solutions.
In this role, you will work with data pipelines, ETL/ELT processes, and data transformation workflows while collaborating with cross-functional teams to improve data quality, performance, and reliability.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Apache Spark within Databricks.
- Build batch and streaming data workflows.
- Implement ETL/ELT processes to transform raw data into curated datasets.
- Optimize queries for speed and efficiency.
- Design Snowflake schemas and create fact and dimension tables.
- Implement data access controls and permissions using Unity Catalog.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Document data processes, workflows, and technical solutions.
- Participate actively in team discussions and contribute to continuous improvement.
- Stay updated on data engineering trends and best practices.
Required Qualifications
- Minimum 2 years of hands-on experience with Databricks Unified Data Analytics Platform.
- Strong understanding of data pipeline architecture and implementation.
- Experience with data integration, transformation, and ETL/ELT processes.
- Knowledge of Apache Spark and distributed computing.
- Familiarity with cloud-based data platforms.
- Ability to troubleshoot data-related issues efficiently.
- Strong understanding of data workflow optimization, scalability, and performance.