
Data Engineer
1 day ago
JOB RESPONSIBILITIES
- Design, build, and maintain scalable data pipelines to collect, process, and store structured and unstructured data.
- Develop and manage ETL (Extract, Transform, and Load) processes to prepare data for analytics, and machine learning models.
- Perform web scraping and data mining to extract data from various online sources and APIs.
- Integrate data from multiple sources, including databases, cloud platforms, IoT systems, and external datasets.
- Ensure data quality, consistency, and security through governance frameworks and best practices.
- Optimize database performance and query efficiency to support real-time and batch processing workloads.
- Implement orchestration tools such as for managing workflows and machine learning pipelines.
- Monitor and troubleshoot data pipelines and workflows, ensuring minimal downtime and quick resolution of issues
- Collaborate with data scientists, analysts, and business teams to understand data needs and implement solutions.
- Stay updated on emerging technologies in data engineering, cloud computing, and big data analytics to recommend innovative solutions.
- Maintain detailed documentation of data architectures, pipelines, and system integrations for future reference and compliance.
- Graduate of bachelor's degree in computer science, Information Technology, Data Science, Engineering or other related field.
- Proficient in scalable data pipelines, and data transformation
- Strong programming skills in Python, SQL and Bash/Shell Scripting
- Experience with cloud data warehouse (Snowflake, BigQuery, and Redshift)
- Familiarity with AWS, Azure, or Google Cloud for data processing and analytics
- Expertise in web scraping, data mining, and preprocessing for analytics and machine learning
- Knowledgeable in big data tools and frameworks like Hadoop, Spark, and Kafka
- With experience with orchestration tools such as Dagster, MLFlow, and Databricks for managing workflows and machine learning pipelines is advantage
- Must be willing to work on-site in Sta. Maria, Bulacan
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