Data Engineer
Sprout Solutions
Manila, Philippines
6d ago
  • Sprout Solutions is a software-as-a-service (SaaS) company that aims to deliver the best automated HR and payroll solutions for the Philippines.
  • We want to help all types of businesses grow with our suite of cloud-based HR and payroll software to streamline and simplify processes.

  • Here at Sprout, we want people who are driven to make things better than they were before. We desire individuals who are brave and courageous to bring positive change, no matter how small or big it is.
  • We are committed to revolutionize the Philippine economy by building world-class software with the power of local talent.

    Make your best career move yet!

    We want to invite you to join one of the fastest growing tech companies in the Philippines! If you enjoy working with people who know how to have fun while doing their best work, you’ve come to the right place!

    The Role

    MAIN AREA OF RESPONSIBILITY :

    The primary responsibility of the Data Engineer is to transform data into a format that can be easily analyzed. The Data Engineer will be responsible for designing and developing Sprout’s data system, processing and extracting data features and deploying the data science team’s machine learning models.

    The Data Engineer will support our software engineers, architects and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

    TASKS :

  • Build, optimize and maintain conceptual, logical and physical database models
  • Develop database solutions to store and retrieve information
  • Assemble datasets that meet functional / non-functional business requirements
  • Build the infrastructure for optimal ETL from a wide variety of data sources
  • Monitor data integrity and adopt appropriate tools
  • Improve system performance
  • Optimize or re-design data architecture to support Sprout’s next generation of products and data initiatives
  • Design, develop, test and deploy web service APIs
  • Work with Data Scientists to identify future needs and requirements
  • Deploy models and algorithms developed by the Data Science team
  • Perform other duties as assigned by the company
  • Ideal Profile

    QUALIFICATIONS COMPETENCIES :

  • Extensive knowledge on databases (SQL and / or NoSQL) and data engineering best practices
  • Expertise in SQL and other programming languages(e.g. Python, Java, Scala, shell scripting etc.)
  • Experience with data modeling (data warehouse, data lake) and designing data storage schemes
  • Familiarity with data engineering and ETL software tools, hadoop, spark, talend, SSAS, etc. is also helpful
  • Experience building and optimizing data pipelines, architecture and datasets
  • Experience in software development
  • Experience with Azure
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Familiarity with data visualization tools (e.g. PowerBI or Google Data Studio)
  • Familiarity with agile development as a project management methodology is a plus
  • Strong problem-solving and analytical skills
  • Must be self-motivated and comfortable supporting the data needs of multiple teams, systems and products
  • A good team player and willingness to learn
  • Strong innate desire and proven track record of continuous self-improvement (in learning, job expansion, extracurricular activities, etc.)
  • What's on Offer?

  • Great work environment
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