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Keyrus

DataOps Engineer – Operations, Maintenance & Continuous Improvement

Keyrus

. Redesign Hadoop/Hive/Spark pipelines for Snowflake (SQL, Snowpark) and migrate Dataiku projects .

Posted 10/26/2026full-timeMoroccoMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering with a focus on migrating Big Data platforms to Snowflake, utilizing Python and SQL for pipeline redesign and optimization. Proven ability to mentor junior team members while implementing rigorous testing and quality assurance processes.

Highest-signal resume keywords
Data Engineering ExperienceSnowflake MigrationPython ProgrammingSQL ProficiencyHadoop/Hive Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline RedesignPySpark ConversionData Quality ChecksRegression TestingAutomation Scripting
Soft Skills
IT/Business CommunicationMentoringCoaching
Tools & Technologies
SnowflakeDataikuSparkAirflowDbt
Industry Keywords
Big DataCloud MigrationCI/CDGenerative AIMethodological Rigor

Tech Stack

Tools & technologies
AirflowCloudHadoopPySparkPythonSnowflakeSparkSQL

About the role

Key responsibilities & impact
  • Redesign Hadoop/Hive/Spark pipelines for Snowflake (SQL, Snowpark) and migrate Dataiku projects
  • Adapt pipelines and transformation logic to the new environment, including converting PySpark to Snowflake Python/SQL
  • Optimize target data models
  • Participate in scoping workshops with IT and business teams
  • Industrialize migration processes using Python scripts and Streamlit-based automation
  • Implement data quality checks
  • Design and execute regression tests
  • Leverage AI tools to accelerate test generation and validation
  • Document acceptance testing through formal test acceptance reports
  • Support and mentor junior team members
  • Serve as a technical lead and subject-matter expert

Requirements

What you’ll need
  • 4–6 years of experience in data engineering
  • Hands-on experience with a Big Data platform migration project to the cloud, ideally Snowflake
  • Python, SQL, Spark/PySpark
  • Snowflake, Snowpark, Dataiku
  • Knowledge of the Hadoop/Hive ecosystem
  • Airflow, dbt, ADF
  • Basic knowledge of CI/CD
  • Methodological rigor in testing and acceptance activities
  • Ability to work in project or task-force environments
  • Strong IT/business communication skills
  • Interest in generative AI tools
  • Ability to mentor and supervise team members
  • Coaching or mentoring experience is a plus

Benefits

Comp & perks
  • Professional and personal development opportunities
  • A stimulating, enriching, and multicultural environment
  • Participation in strategic, operational, and technology projects for major international companies
  • Expertise and support in Data Intelligence, Digital, Management Consulting, and Business Transformation