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Data Engineer_L3_ Program Tech (m/f) – Remote

Match Profiler·Salary not specified

Primary stack

PythonETLAirflowAWSGCPTableauSQLDruidPrestoSnowflake

Nice to have's

Scrum

Job description

About the Position

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Match Profiler is an Information Systems consulting firm, working in the national and international market since 1999. We are empowered with multidisciplinary competences and know-how in IT, which allow us to contribute, optimize and move forward with our clients.

Data Engineer_L3_ Program Tech (m/f) – Remote

Match Profiler is an Information Systems consultant who has been working in the national and international market since 1999. We have multidisciplinary skills and IT know-how that allow us to contribute, optimize and progress with our clients.

We are currently recruiting, for integration in our internal team/client, professionals with the following profile:

Data Engineer_L3_ Program Tech (m/f) – Remote


Responsibilities

  • Minimum of 4 years of professional experience in data engineering, business intelligence, or a similar role.
  • Proficiency in programming languages such as Python.
  • Over 7+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie, and Azkaban using AWS or GCP.
  • Expertise in database fundamentals, Tableau or SQL, and distributed computing.
  • At least 4 years of experience with distributed data ecosystems (Spark, Hive, Druid, Presto).
  • Experience working with Snowflake, Redshift, PostgreSQL, Tableau and/or other DBMS platforms.
  • Lead and mentor a team of engineers, fostering a collaborative and productive work environment.
  • Apply Scrum methodologies to manage project workflows and deliverables efficiently.
  • Very good Tableau / Python/ SQL - It will be validated with real-time coding tests.
  • Minimum 4 years experience in the technologies of the role.
  • Very good English - C1

Requirements

  • Hard Skills:

    • Minimum of 4 years of professional experience in data engineering, business intelligence, or a similar role.
    • Proficiency in programming languages such as Python.
    • Over 7+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie, and Azkaban using AWS or GCP.
    • Expertise in database fundamentals, Tableau or SQL, and distributed computing.
    • At least 4 years of experience with distributed data ecosystems (Spark, Hive, Druid, Presto).
    • Experience working with Snowflake, Redshift, PostgreSQL, Tableau and/or other DBMS platforms.
    • Lead and mentor a team of engineers, fostering a collaborative and productive work environment.
    • Apply Scrum methodologies to manage project workflows and deliverables efficiently.
    • Very good Tableau / Python/ SQL - It will be validated with real-time coding tests.
    • Minimum 4 years experience in the technologies of the role.
    • Very good English - C1
  • Soft Skills:

    • Good communication
    • Team spirit
    • Proactivity
    • Time management

We Offer

  • Personalized support from your team
  • Your manager will take into consideration your motivations and suggestions
  • Victories will be celebrated together
  • Your HR and Support Teams will always be available to help
  • Constant feedback on your work
  • A network of hundreds of partnerships with companies from numerous sectors that offer you exclusive discounts (health, well-being, travel, gastronomy, culture, leisure, training, etc)
  • And, of course, many gatherings and social events

About the Company

Match Profiler is an Information Systems consulting firm, working in the national and international market since 1999. We are empowered with multidisciplinary competences and know-how in IT, which allow us to contribute, optimize and move forward with our clients.

To respond to this opportunity, send us your CV to the following e-mail address [email protected]

© Match Profiler. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Асоціація технологічного кластера; Розробка ПЗ

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