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Senior Data Engineer/Manager

Job Description

Data Engineer 1  
  • Handle structured and unstructured data
  • Create ETLs
  • Create basic databanks
  • Process events
  • Perform data cleaning
  • Create data pipeline
  • Ingest data from Google Sheets
  • Ingest data from internal platforms
  • Ingest data from external platforms
  • Senior Data Engineer
  • Build and maintain efficient data infrastructure/architecture by designing and implementing data ingestion solutions using data management technologies.
  • Design and optimize data models.
  • You are expected to work with data scientists and data analysts in getting analytical data and deep learning models production ready.
  • Investigate and research data quality and integrity from data sources.
  • Develop and maintain data platforms and ETLs.
  • Coaching and mentoring junior data engineers to be more effective individual contributors.
  • Data Engineer Manager  
  • Maintain efficient data infrastructure including data warehouse and data lake implementation
  • Data warehouse should be able to process all ETLs with minimum downtime
  • Data lake should be able ingest relevant data without impacting data source performance
  • Ingest relevant data from internal and external sources
  • Create data solutions such as data integrations and automated jobs
  • Create streamlined jobs to speed up data processing and optimize data pipeline
  • Qualification

    Data Engineer 1
  • 1 - 2 years of data engineering experience OR
  • 2 - 3 years of software engineering experience
  • Intermediate knowledge on the following:
  • Schema Concepts
  • Data Modelling (Using Scala, Python, or Java)
  • Data Pipeline
  • Data Warehouse Infrastructure
  • Handling structured and unstructured data
  • Events processing
  • Scheduler
  • Handling data lake

  • Senior Data Engineer
  • 2-4 years of data engineer experience or 3-5 years of software development
  • You are data-driven, innovative, problem-solver with analytical mindset and critical thinker.
  • You are keen on data technologies and picking up new skills and tools along the way.
  • Strong SQL expertise, optimizing complex joins and database concepts.
  • Strong programming development experience in languages like Python or similar.
  • Knowledge in version controls such as Git.
  • Experience working in Data Warehouse and Data Lake.
  • Experience in data engineering tools like Hadoop, Spark, BigQuery, Airflow, etc.
  • AWS and Data Platform experience with the following: Kinesis, Redshift, Glue, S3.

  • Data Engineer Manager
  • Has at least 3 to 5 years of data engineering experience and 2 to 4 years of people management experience
  • Can create data models using Python, Scala, or R
  • Experience in utilizing Pandas or Numpy (or any equivalent is a plus)
  • Can setup data pipeline using Airflow (or any equivalent)
  • Experience in implementing the data engineering architecture in a cloud environment such as Amazon Web Services or Google Cloud Services
  • Can manage stakeholders in setting up timelines and proposing data solutions
  • Strong analytical skills with the ability to collect, organize, and analyze big data and present to stakeholders
  • Problem-solving and critical thinking mindset
  • Detail-oriented with strong ability to multi-task
  • Ability to work with a team and independently
  • Ability to lead a team to achieving business goals
  • Develop team members' capabilities and drive them to their full potential
  • About The Truck Transportation

    A technology driven business solutions provider for the fulfillment and logistics needs of enterprises in the Philippines.

    Senior Data Engineer/Manager

    Truck Transportation


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    Position Level


    Job Level

    Experienced Hire

    Job Type

    Full Time

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