Lead Level   •   Mindanao

Job Description


  • Graduate of any science or business bachelor’s degree Preferably a STEM degree
  • 3-5 years of data engineering experience
  • Data-driven, innovative, problem-solver with analytical mindset and critical thinker
  • Keen on data technologies and pick 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, Java, Scala or other similar programming language
  • 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.
  • Experience in Cloud-based Data solutions like AWS Redshift, Kinesis, Database Migration Service, AWS Glue, etc.

Job Description

  • Build and maintain efficient data infrastructure/architecture by designing and implementing data ingestion solutions using data management technologies
  • Design and optimize data models
  • Manage a team of data engineers implementing data pipelines and system integration
  • You’ll be working with team leads, architects, analysts and other stakeholders to ensure that our data infrastructure meets business needs
  • You are expected to work with data scientists and data analysts in getting analytical data models production ready
  • Investigate and research data quality and integrity from data sources
  • Develop and maintain data platforms and ETLs
  • Provide leadership, coaching and mentoring to data engineers to be more effective individual contributors

Application Process

1 Resume Screening

2 Online/Phone Screening

3 Onsite assessment and interviews