Data Engineer

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

As a Data Engineer you will:

Build and migrate existing data solutions to Google Cloud Platform (GCP) to support data analytics and ML/AI products.
Develop new data products on GCP using DBT and BigQuery.
Collaborate with Solution Architects and Business Experts to design and implement relevant and scalable data models.
Integrate and synchronize data from multiple sources using Cloud Functions and Python.
Build and maintain end-to-end data pipeline components using Terraform Cloud Workflows and other GCP services.

What You Bring to the Table:

68 years of overall experience including hands-on work as a Data Engineer on cloud-based data platforms or in advanced analytics environments.
Strong expertise in GCP services including BigQuery Cloud Run Cloud Functions Pub/Sub Cloud Composer etc.
Proficiency in SQL DBT Python and infrastructure-as-code tools like Terraform.
Experience with CI/CD pipelines and version control.
Knowledge of PowerBI or similar reporting tools.
Experience working with various data formats such as Avro and Parquet.
Familiarity with both NoSQL and RDBMS databases.
Programming experience in a data-centric context using Python Java or Scala.

You should possess the ability to:

Design deploy and maintain scalable cloud-native data pipelines on GCP.
Analyze complex business and technical requirements and translate them into robust data solutions.
Optimize data flows for performance reliability and cost efficiency.
Work collaboratively across multidisciplinary engineering and analytics teams.
Troubleshoot issues across data ingestion transformation and workflow orchestration layers.

What We Bring to the Table:

A collaborative technology-driven environment focused on innovation and continuous improvement.
Opportunities to work with modern cloud architectures and advanced analytics solutions.
A dynamic team culture where your ideas and expertise contribute directly to impactful data products.
A platform to grow your cloud engineering and ML/AI data capabilities.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Aswin Dhanvandhar

Phone:; Extn :141

Email:

LinkedIn: Skills:

As a Data Engineer you will: Build and migrate existing data solutions to Google Cloud Platform (GCP) to support data analytics and ML/AI products. Develop new data products on GCP using DBT and BigQuery. Collaborate with Solution Architects and Business Experts to design and implement relevant and scalable data models. Integrate and synchronize data from multiple sources using Cloud Functions and Python. Build and maintain end-to-end data pipeline components using Terraform Cloud Workflows and other GCP services. What You Bring to the Table: 68 years of overall experience including hands-on work as a Data Engineer on cloud-based data platforms or in advanced analytics environments. Strong expertise in GCP services including BigQuery Cloud Run Cloud Functions Pub/Sub Cloud Composer etc. Proficiency in SQL DBT Python and infrastructure-as-code tools like Terraform. Experience with CI/CD pipelines and version control. Knowledge of PowerBI or similar reporting tools. Experience working with various data formats such as Avro and Parquet. Familiarity with both NoSQL and RDBMS databases. Programming experience in a data-centric context using Python Java or Scala. You should possess the ability to: Design deploy and maintain scalable cloud-native data pipelines on GCP. Analyze complex business and technical requirements and translate them into robust data solutions. Optimize data flows for performance reliability and cost efficiency. Work collaboratively across multidisciplinary engineering and analytics teams. Troubleshoot issues across data ingestion transformation and workflow orchestration layers. What We Bring to the Table: A collaborative technology-driven environment focused on innovation and continuous improvement. Opportunities to work with modern cloud architectures and advanced analytics solutions. A dynamic team culture where your ideas and expertise contribute directly to impactful data products. A platform to grow your cloud engineering and ML/AI data capabilities. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Aswin Dhanvandhar Phone:; Extn :141 Email: LinkedIn:

As a Data Engineer you will:

Build and migrate existing data solutions to Google Cloud Platform (GCP) to support data analytics and ML/AI products.
Develop new data products on GCP using DBT and BigQuery.
Collaborate with Solution Architects and Business Experts to design and implement relevant and scalable data models.
Integrate and synchronize data from multiple sources using Cloud Functions and Python.
Build and maintain end-to-end data pipeline components using Terraform Cloud Workflows and other GCP services.

What You Bring to the Table:

68 years of overall experience including hands-on work as a Data Engineer on cloud-based data platforms or in advanced analytics environments.
Strong expertise in GCP services including BigQuery Cloud Run Cloud Functions Pub/Sub Cloud Composer etc.
Proficiency in SQL DBT Python and infrastructure-as-code tools like Terraform.
Experience with CI/CD pipelines and version control.
Knowledge of PowerBI or similar reporting tools.
Experience working with various data formats such as Avro and Parquet.
Familiarity with both NoSQL and RDBMS databases.
Programming experience in a data-centric context using Python Java or Scala.

You should possess the ability to:

Design deploy and maintain scalable cloud-native data pipelines on GCP.
Analyze complex business and technical requirements and translate them into robust data solutions.
Optimize data flows for performance reliability and cost efficiency.
Work collaboratively across multidisciplinary engineering and analytics teams.
Troubleshoot issues across data ingestion transformation and workflow orchestration layers.

What We Bring to the Table:

A collaborative technology-driven environment focused on innovation and continuous improvement.
Opportunities to work with modern cloud architectures and advanced analytics solutions.
A dynamic team culture where your ideas and expertise contribute directly to impactful data products.
A platform to grow your cloud engineering and ML/AI data capabilities.