Data Engineer with Azure and GCP

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We are GRi
T®, a technology‑driven company focused on delivering innovative solutions while building strong long‑term relationships. Our culture values talent, intelligence, passion, and perseverance.

As a Data Engineer in our Data & Analytics team, you will design and implement modern, cloud‑based data platforms. Your responsibilities include building data pipelines and integration processes across different environments, ensuring scalability, performance, and reliability. You will work with Azure and/or GCP technologies, support multiple clients, and enable analytics and machine learning applications across the organization.

Must-Have

• Proven experience as a Data Engineer in cloud‑based environments
• Strong knowledge of Azure (Data Factory, Databricks, Synapse, Data Lake) and/or Google Cloud Platform (Big
  Query, Dataflow, Pub/Sub, Cloud Storage)
• Proficiency in Python and SQL for data transformation and pipeline development
• Experience with ETL/ELT frameworks and orchestration tools
• Knowledge of data modelling, data warehousing, and database design (relational and No
  SQL)
• Hands‑on experience with Big Data technologies such as Spark, Hadoop, Kafka, or Beam
• Familiarity with data governance, security, and performance tuning practices

Would Be If You Have

• Experience integrating APIs and streaming data sources
• Familiarity with CI/CD pipelines and version control (Git)
• Knowledge of Terraform or Ia
  C concepts for infrastructure management
• Experience with real‑time data processing and event‑driven architectures
• Understanding of data quality frameworks and metadata management
• Strong communication skills and a collaborative mindset

What’s In It For You

• Continuous Training and Certifications
• GRi
  T Prizes: GRi
  T Baby Gift, GRi
  T Birthday Prize, GRi
  T Recommendation Prize
• Exclusive Partnerships/Discounts: (Gym, Health, Well‑being, Lifestyle, Financial, etc. )
• Unique Events
• Welcoming Office (Fruit, Coffee, Pool Table, etc. )
• Competitive Compensation
• Pay for Performance

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology
• Industries: IT Services and IT Consulting

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