Data Engineer

About the company

Scalable Systems is a USA based Big Data, AI, and Digital Transformation Company focused on vertical innovate solutions. By providing next generation technology solutions and identify risk and opportunities, achieve operational excellence, and gain an innovate edge.

Job one Lead Data Engineer

Tech requirements
Snowflake, AWS, Azure, SQL, DBT, Terraform,

Most to have
Python, data catalog or related, Datadog or related, Data Observability and Quality.

Responsibilities

Architecting Data Systems.
Provide guidance to the data engineering team.
Build and maintain data pipelines.
Define data models for efficient querying.
Optimize data processing workflows.
Ensure data quality, security, and compliance.
Evaluate and implement data engineering tools.
Work with data science and analytics teams.
Monitoring and Maintenance.
Documentation and Training.


Job two Sr Data Engineer

Tech Requirements

BS or MS in a technical field: computer science, engineering, or similar.
Five years of professional experience in writing production Python code, shell scripts, and complex SQL.
Three years of professional experience building robust data pipelines beyond simple -API pulls
One year building and deploying data-related infrastructure.
Data warehousing and dimensional data modeling.
Airflow or similar tools

Most to have

AWS, Azure and DBT

Responsibilities

Design, deploy scalable data pipelines for diverse datasets
Create departmental data marts for company-wide analytics
Collaborate with teams to optimize data processes
Ensure quality data solutions and governance
Develop self-service tools and datasets
Enhance and maintain data infrastructure


Job three Sr. Data Scientist AI

Technical Requirements

Data science, Machine Learning and Statistical systems and Python

Specific Requirements

Production experience in cloud-based AI or ML systems, developing and deploying machine learning models.
Technical writing documentation in English.
Last Experience as Data Scientist.
Experience performing pull request and code reviews and providing effective, helpful feedback to team members.
Graduate degree in computer science, mathematics, or related field.
Five years of experience in a data/applied science related role.

Most to have

Experience writing unit tests as part of development cycle and using code coverage tools.
Knowledge of containerization technologies, including Docker and Kubernetes.
Familiarity with database, performance, profiling, and tuning tools.
Experience with bug and feature tracking and source control systems; Jira, Confluence, and Git

Responsibilities

Develop and deploy ML models for business problem-solving.
Analyze data for insights and recommendations.
Proficient in technical documentation and code reviews.
Ensure model quality and reliability.


Scalable Systems is an Equal Opportunity Employer