Job Details

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.

• 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.

• 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).

• 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.