We are seeking a skilled and proactive mid-level Data Engineer for an assignment with a leading client in data infrastructure and cloud-based analytics.
In this role, you'll leverage Google Cloud Platform (GCP) services to build scalable data solutions that drive insights and support business decisions.
Role Overview As a Data Engineer, you will be responsible for developing and managing efficient data pipelines, enabling data flow, scheduling processes, and ensuring that the right data reaches the right users at the right time.
Your tasks will include pipeline orchestration, data modeling, and data visualization solutions using PowerBI.
Key Responsibilities Utilizing GCP services, including Cloud Scheduler, Cloud Run, Cloud Functions, BigQuery, and more.
Building and implementing pipelines with Dataproc (using PySpark).
Orchestrating pipelines with Cloud Composer.
Data modeling and transformation using dbt.
Managing infrastructure as code (IaC) with Terraform.
Developing reporting and visualization solutions using PowerBI.
Qualifications At least 3 years of experience as a Data Engineer.
Strong experience with the GCP ecosystem and related services.
Skilled in using Terraform for automated infrastructure setup.
GCP Data Engineer certification.
Proficiency in PowerBI for reporting and data visualization.
Preferred Qualifications Previous experience with Azure and related services is a plus.
Why Apply?
This assignment offers an outstanding opportunity for those looking to strengthen their profile in cloud-based data infrastructure, working with advanced data processes and pipelines.
You'll join an experienced team with the flexibility of 50% remote work.
As part of EEZE… you will have the opportunity to grow both professionally and personally.
You will work closely with clients, using your expertise to help them achieve their goals.
We offer diverse projects, a high level of responsibility, and a strong team that always supports you.
With us, you'll have the chance to develop while making a real difference in our clients' businesses.
Apply now to become a key player in our client's digital transformation journey and advance your expertise in GCP and data infrastructure!
Assignment Period : November 18, 2024 – May 31, 2025 Location : 50% Remote work allowed Utilization : 100%