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Müller`s Solutions

Google Cloud Data Engineer

Casablanca

CDI / Temps pleinSur site3–5 ansLicence / Bac+3AnglaisData / BIInformatique / ITCabinet de recrutement

L’essentiel du poste

Résumé par Postule AI

Müller's Solutions seeks a Google Cloud Data Engineer with 3+ years of experience to design and implement data pipelines using GCP technologies. The role involves collaborating with data analysts and stakeholders to ensure accurate data processing, integration, and availability for analysis. Requires a Bachelor's degree in Computer Science or related field, strong SQL skills, and proficiency with Google Cloud Dataflow and BigQuery. The position offers attractive compensation, family benefits, visa sponsorship, and air tickets.

Vos missions

  • Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.
  • Implement data lakes and data warehouses using Google BigQuery for efficient data storage and processing.
  • Collaborate with data scientists and analysts to understand requirements and provide solutions meeting business needs.
  • Monitor and evaluate data pipeline performance, implementing optimizations and troubleshooting issues.
  • Ensure data quality through validation routines and data profiling techniques.
  • Document data architecture, ETL processes, and operational procedures for knowledge sharing.

Profil recherché

  • You have 3+ years of hands-on data engineering experience with Google Cloud Platform.
  • You are proficient in SQL, data modeling, and have strong programming skills in Python or Java.
  • You enjoy collaborating with cross-functional teams and communicating technical concepts clearly.
  • You are passionate about optimizing data pipelines and ensuring data quality at scale.
  • You hold or are pursuing Google Cloud certifications and stay current with emerging technologies.

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About the Role

Müller's Solutions is seeking a Google Cloud Data Engineer to enhance data processing capabilities. You will design and implement data pipelines using Google Cloud technologies, working closely with data analysts, business stakeholders, and engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.

Key Responsibilities

  • Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.
  • Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.
  • Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.
  • Monitor and evaluate data pipeline performance, implementing optimizations and troubleshooting issues as they arise.
  • Ensure data quality by developing validation routines and data profiling techniques.
  • Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.
  • 3+ years of experience in data engineering with focus on Google Cloud Platform.
  • Proficiency in designing and implementing data pipelines using Google Cloud Dataflow and BigQuery.
  • Strong SQL skills and experience in data modeling and data warehousing concepts.
  • Familiarity with Python or Java for data processing tasks.
  • Ability to work with structured and unstructured data sources.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to communicate technical concepts to technical and non-technical stakeholders.

Preferred Qualifications

  • Google Cloud certifications (e.g., Google Cloud Professional Data Engineer).
  • Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.
  • Understanding of CI/CD practices in data engineering workflows.
  • Knowledge of data visualization tools and techniques.

Benefits

  • Attractive compensation package
  • Family benefits
  • Visa sponsorship
  • Air tickets

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