About Cloudacio:
Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.
Role Overview:
We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and optimizing data pipelines, implementing big data solutions, and contributing to our advanced cloud-based projects. The candidate should be versatile in various data engineering technologies and methodologies, capable of working independently as well as collaboratively in a remote team environment. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.
Key Responsibilities:
- Design, build, and optimize data pipelines, architectures, and data sets.
- Work with big data technologies to solve complex data processing challenges.
- Implement ETL processes and data warehousing solutions.
- Attend meetings, providing pre-sales support and technical insights.
- Collaborate with cross-functional teams to integrate data solutions into broader projects.
- Engage in cloud-based data solutions using AWS, Azure, or GCP.
- Ensure data integrity, efficiency, and scalability in all solutions.
Core Skills:
- Strong proficiency in Python
- Experience with SQL and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
- Expertise in ETL processes and tools.
- Proficiency in one or more cloud platforms: AWS, Azure, or GCP, with specific technologies including:
- AWS: Glue, Redshift, EMR, Lambda, S3, Kinesis, Athena
- Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs
- GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
- Familiarity with big data tools like Hadoop, Spark, or Airflow.
- Experience with Snowflake for cloud data warehousing.
- Strong problem-solving skills and attention to detail.
- Excellent English communication skills for client-facing roles and technical discussions.
- Previous consulting or startup environment experience.
- Ability to independently handle customer interactions and lead projects.
Desired Skills:
- Experience with Looker, PowerBI, Tableau, or Grafana for data visualization.
- Experience with machine learning and analytics.
- Familiarity with containerization technologies like Docker, Kubernetes, and Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
- Knowledge of API development and integration.
- Experience with streaming technologies such as Kafka or Flink.
- Understanding of data privacy and compliance regulations (e.g., GDPR, HIPAA).
What We Offer:
- Flexible work arrangements to accommodate project needs and personal preferences.
- Growth potential in a dynamic environment focusing on AI and cloud technologies.
- A culture that values innovation, communication, and proactive problem-solving.
- Opportunity to work on innovative projects with significant real-world impact.
Remote Location:
Europe/US/South America preferred
Experience Level:
Junior
English Level:
Fluent
Dedication:
As needed
Skillset:
Python
SQL and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Expertise in ETL processes and tools.
Proficiency in one or more cloud platforms: AWS, Azure, or GCP, with specific technologies including:
AWS: Glue, Redshift, EMR, Lambda, S3, Kinesis, Athena
Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs
GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
Familiarity with big data tools like Hadoop, Spark, or Airflow.
Experience with Snowflake for cloud data warehousing.
Strong problem-solving skills and attention to detail.
Excellent English communication skills for client-facing roles and technical discussions.
Previous consulting or startup environment experience.
Ability to independently handle customer interactions and lead projects.