Job description

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.

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