Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Apache Spark and Databricks, supporting both batch and streaming data processing.
- Develop and manage ETL/ELT workflows to transform raw data into clean, curated, and usable datasets.
- Optimize SQL queries to improve performance and efficiency.
- Design and implement Snowflake schemas, including fact and dimension tables.
- Manage data access controls and permissions using Unity Catalog.
- Monitor, troubleshoot, and optimize data pipelines to ensure reliability, scalability, and performance.
- Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.
- Participate actively in team discussions and contribute to continuous improvement initiatives.
- Document data processes, workflows, and technical procedures.
- Stay current with industry trends and best practices in data engineering.
Qualifications and Technical Skills
- At least 2 years of hands-on experience with Databricks Unified Data Analytics Platform.
- Strong understanding of data pipeline architecture and implementation.
- Proficiency in Apache Spark and distributed data processing.
- Experience with ETL/ELT processes, data integration, and transformation.
- Knowledge of SQL query optimization, dimensional modeling, and Snowflake schemas.
- Experience implementing data access controls and permissions using Unity Catalog.
- Familiarity with cloud-based data platforms.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to develop scalable, high-performance data workflows.
Pay: Php40,000.00 - Php70,000.00 per month
Work Location: In person
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