Senior Data Engineer - GCP
Senior Data Engineer - GCP
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Job Description
Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling datadriven decisionmaking and innovation through advanced analytics and predictive modeling.
Responsibilities:
- Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
- Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
- Propose solutions for the cloudbased architecture and deployment flow.
- Design and build processes data transformation and metadata to meet business requirements and platform needs.
- Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
- Develop maintain test and evaluate big data solutions.
- Focus on production status and data quality of the data environment.
- Pioneer initiatives around data quality integrity and security.
Qualifications :
- 5 years working with the GCP ecosystem.
- 5 years of experience in Data Engineering.
- Proficiency in Apache Spark.
- Proficiency in Python.
- Some experience leading IT projects and stakeholder management.
- Experience implementing ETL/ELT process and Data pipelines.
- Experience with Snowflake.
- Strong SQL scripting experience.
- Background and experience with cloud data technologies and tools.
- Familiar with data tools and technologies like:
- Spark Hadoop Apache beam Dataproc or similar.
- BigQuery Redshift or other Data warehouse tools.
- Realtime pipelines with Kinesis or Kafka.
- Batch processing.
- Serverless processing.
- Strong analytic skills related to working with structured and unstructured data sensibilities.
- Cloud certifications such as Associate Cloud Engineer will be an asset.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions passiton sessions workshops conferences;
- WorkLife Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
