Data Engineer (m/w)

# title:		search_programming_talent.py
# description:	In-depth search for a Data Engineer at INNOSPOT
# author:		Josef Seidl
# date:			2018-04-23
# version:		0.21
# ==============================================================================

import re
import innospot_applicant as Applicant
import innospot_culture as Culture
import innospot_positions as Positions
import innospot_hr as Evaluation


def search(applicant: Applicant, position: String):
    """Searches for a programming talent with a high cultural fit to INNOSPOT

    :param applicant: This could be You
    :param position: The position to search for
    :return: An applicant object with the perfect candidate who has a passion for
             enabling and fostering innovation on a large scale globally
    """

    # Check fit of applicant to the INNOSPOT culture and vice versa
    # Includes (Selection):
    # - Motivation for daily and lifelong learning
    # - Willingness to give, receive and apply feedback
    # - Continuous desire to facilitate improvements within the team
    # - Making mistakes and deduce learnings out of them
    # - Passion for inventions, innovations and solving complex data problems
    if not Culture.check_fit(applicant):
        return None

    # Check whether applicant already has enough experience in Software Development
    if applicant.get_working_experience() > 3:

        # Check required programming languages
        # ToDo: Separate programming languages, tools and technologies
        score = 0
        pattern = re.compile('python3|pandas|spaCy|scrapy|mongodb|docker|aws')
        for programming_language in applicant.get_programming_languages():
            if pattern.match(programming_language.lower()):
                score += 1

        # Check whether applicant is proficient in required programming languages
        # ToDo: Find solution to consider applicants with ultra fast learning skills
        if score < 3:
            return None

        if applicant.gets_shit_done():
            score += 3

        if applicant.has_knowhow_in_machine_learning():
            score += 2

        if applicant.has_professional_experience_in_crawling_massive_data():
            score += 2

        if applicant.has_professional_experience_with_large_software_projects():
            score += 1

        # Check if applicant takes care of code quality and documentation
        if applicant.is_linter():
            score += 1

        # ToDo: Publish documentation for Evaluation class
        if Evaluation.is_score_high_enough(score):

            # Set responsibilities for position
            for responsibility in Positions.get_responsibilities(position):
                applicant.set_responsibility(responsibility)

            # To reduce debug time or to avoid switching the editor window
            # the responsibilities for a "Data Engineer" look like this:
            # - Programming, implementing and maintaining data-processing pipelines
            # - Analyzing and understanding big data sets
            # - Data cleaning, manipulation and modeling
            # - Deal with crawling and performance challenges
            # - Define and improve our software architecture
            # - Evaluation of new technologies and technology stacks
            # - Reviewing code and giving guidance to team members
            # - Ensure system quality via unit and functional tests

            applicant.crawl_and_set_benefits("https://innospot.de/karriere/")
            return applicant

        else:
            return None


if __name__ == "__main__":
    search(Applicant(self), "Data Engineer")

If you are still wondering whether this might the perfect position for you, just get to know us! Send us a message, give us a call, or directly visit us in our office. We are looking forward to get to know you.