Your Daily Role and Responsibilities
- Develop, implement, and maintain big data solutions using Hadoop ecosystem tools (e.g., HDFS, MapReduce, Hive, HBase) and Apache Spark for data processing and analytics
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design scalable data pipelines for efficient data ingestion, processing, and storage
- Participate in daily stand-ups, sprint planning, and retrospective meetings to ensure project goals are met and to address any challenges or roadblocks
- Optimize big data workflows and queries for improved performance, troubleshoot issues, and provide technical support to team members
- Use version control systems (e.g., Git) and project management tools (e.g., JIRA) to track progress, manage code repositories, and document processes
- Create and maintain technical documentation, including data models, system architectures, and standard operating procedures
- Deliver regular reports on project status, data quality metrics, and system performance to project managers and stakeholders
Note: The responsibilities listed above are general examples of what you may encounter in a Big data technologies (Hadoop, Spark) role. Actual duties and responsibilities will vary based on individual employers, company size, industry, and specific job requirements. This information is provided to help those considering this career path understand typical expectations in the field.
How Much Do Remote Big data technologies (Hadoop, Spark) Professionals Earn in the Philippines?
Entry Level
$7.00/hr
Est. Monthly: $1,120.00
Mid Level
$9.50/hr
Est. Monthly: $1,520.00
Senior Level
$12.00/hr
Est. Monthly: $1,920.00
The salary information shown above is aggregated from multiple sources in our database:
- Active job postings from employers hiring for Big data technologies (Hadoop, Spark) positions
- Salary data from Filipino professionals with Big data technologies (Hadoop, Spark) skills in our talent pool
- Historical job placement data for this skill
- Market research and industry standards in the Philippines
Disclaimer: These salary figures are estimates only and may not accurately reflect current market rates. Actual compensation can vary significantly based on experience level, specific employer, industry demands, and individual negotiation. The information is provided for general guidance purposes only.
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