Data Engineer

3 weeks ago


Bulacan Philippines Motolite Full time

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.
JOB SPECIFICATION
  • 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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