Data Engineer (Google Cloud Platform)

Seeking a Data Engineer (Google Cloud Platform): Rhino, are you there?

At WE ARE META, we focus on finding the perfect match between our Rhinos and our clients.

Why join us?

1. Expand your network: As a consultant at We Are META, you’ll have access to a network of national and international partners across diverse sectors of the tech industry.
2. Enjoy our perks: When you join the crash you’ll have an array of benefits, to help you achieve the best work-life balance.
3. Get your perfect match: Our recruiters do their best to get the best position for you, whether in terms of working policy(remote, hybrid, on-site) or the company’s culture.
4. Personalized support: With our career coach, we assure that all your needs are being met and you’re being provided everything you need to excel in your professional life because the well-being of our Rhinos is our number one priority.

Perks of becoming a Rhino:

• You’ll get a welcome kit 
• Opportunities for career progression 
• Live on the edge with our health insurance 
• Coverflex meal card 
• Other protocols and special discounts

For this position, the perfect Rhino should have the following skills:

• At least 2 years of experience working with cloud platforms and services for data engineering (preferably GCP)
• Proficiency in programming languages such as Python, Java, or Scala
• Hands-on experience with Big Data tools such as Spark, Flink, Kafka, Elasticsearch, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams/Connect, Druid, etc
• Strong knowledge of data modeling and database design principles
• Experience with data integration and ETL tools (e.g., Apache Kafka, Talend)
• Advanced SQL skills and experience with both relational and NoSQL databases
• Familiarity with other cloud services such as AWS S3 or Azure Data Factory (plus)
• Experience using version control tools such as Git
• Fluency in English (B2)
• Availability for hybrid work in Porto, Portugal

If you're ready to join the crash and become a Rhino, apply to: <endereço ocultado>

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