Data Engineer (Contract) (Remote)

Cloudacio; New York (NY); Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work arrangements

Growth potential in AI and cloud technologies

Culture valuing innovation and communication

Opportunity for real-world impact projects

Job summary

Cloudacio, une entreprise innovante dans le secteur de la technologie cloud, recherche un Data Engineer talentueux pour rejoindre son équipe dynamique. Le poste implique le développement de pipelines de données, la mise en œuvre de solutions de Big Data et la collaboration à des projets cloud avancés. Les candidats doivent exceller en communication, être polyvalents dans les technologies de données et pouvoir travailler dans un environnement d'équipe à distance. L'entreprise offre des options de travail flexibles, un potentiel de croissance dans un environnement dynamique axé sur l'IA et une culture qui valorise l'innovation.

Qualifications

• Expérience avec des bases de données SQL et NoSQL, ETL, et cloud computing.
• Compétences en résolution de problèmes et attention aux détails.
• Communications en anglais à un bon niveau pour des interactions clients.

Responsibilities

• Concevoir et optimiser des pipelines de données et architectures.
• Travailler avec des technologies de Big Data pour résoudre des défis complexes.
• Collaborer avec des équipes inter-fonctionnelles pour intégrer des solutions de données.

Skills

Python

SQL

NoSQL

ETL processes

AWS

Azure

GCP

Hadoop

Spark

Airflow

Education

Bachelor's degree in Computer Science or similar field

Tools

Docker

Kubernetes

Terraform

AWS CloudFormation

Snowflake

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.