v4c.ai

Data Engineer

• Design, develop, and maintain large-scale data systems
• Develop and implement ETL processes using various tools and technologies
• Collaborate with cross-functional teams to design and implement data models
• Work with big data tools like Hadoop, Spark, PySpark, and Kafka
• Develop scalable and efficient data pipelines
• Troubleshoot data-related issues and optimize data systems
• Transition and upskill into Databricks & AI/ML projects

Consultant

• Develop and maintain scalable data solutions within Databricks.
• Build and optimize ETL/ELT workflows using SQL, Python, and PySpark.
• Support Bronze, Silver, and Gold layer data architecture and scalable analytics workflows.
• Optimize Spark workloads and data transformations for scalability and performance.
• Support ingestion workflows from APIs, operational systems, and external data providers.
• Work with structured and semi-structured datasets including JSON, CSV, and API responses.
• Support AWS-based cloud environments and Databricks integrations.
• Write and optimize advanced SQL queries and transformations.
• Develop Python scripts and Databricks notebooks for automation, validation, and operational analytics.

DataBricks Consultant

Data Scientist

• Support the collection, cleaning, and preprocessing of data to build robust datasets for analysis.
• Assist in the development and implementation of machine learning models and algorithms.
• Engage in exploratory data analysis to identify patterns and insights relevant to Astros projects.
• Collaborate with team members on various data science projects, contributing your fresh perspective and ideas.
• Participate in training sessions and workshops to further enhance your technical knowledge and skills.
• Provide support in documenting findings and presenting them to the team.

Associate Data Scientist – Work

• Undergo structured training in modern data engineering tools, technologies, and best practices
• Collaborate with senior engineers on the design and development of data pipelines and processing systems
• Work with real-world datasets and cloud-based platforms to gain practical, hands-on experience

Associate Data Engineer

Platform Engineer

• Design, secure, and optimize our enterprise data infrastructure
• Own the foundational architecture of our Databricks Lakehouse
• Manage architecture, deployment, and daily support of Databricks Workspaces
• Implement Unity Catalog for data lineage and access control
• Design global cluster policies for user agility and cost balance
• Optimize Spark configurations, storage layouts, and query speeds
• Productionize cutting-edge capabilities like Databricks Genie and Lakehouse Apps

Director

• Act as a strategic advisor to Sales, Medical, and Commercial leadership teams.
• Partner with executives to identify business opportunities, address challenges, and drive organizational priorities.
• Lead cross-functional initiatives spanning Commercial Operations, Sales, Medical Affairs, Reimbursement, Market Access, and Contracting.
• Develop data-driven recommendations and business insights to support strategic decision-making.
• Drive sales performance optimization, forecasting, planning, and operational excellence initiatives.
• Collaborate with stakeholders across functions to align goals and ensure successful execution of key programs.
• Present complex analyses and strategic recommendations to senior leadership audiences.
• Navigate ambiguity and solve complex business problems in a dynamic healthcare environment.

Senior Manager – Strategic Business Advisory, Healthcare

• Collaborate with team members and stakeholders to understand data requirements and contribute to building scalable data pipelines and workflows in Databricks.
• Develop and implement ETL/ELT processes using Databricks, Python, SQL, and related tools to ingest, transform, and prepare data.
• Assist in optimizing data workflows for better performance, reliability, and cost-efficiency within Databricks environments.
• Support the creation and maintenance of data models, tables, and integrations in cloud platforms (Azure, AWS, or similar).
• Work closely with cross-functional teams (data analysts, scientists, and engineers) to deliver clean, accessible data for analytics and reporting.
• Monitor data pipelines, troubleshoot basic issues, and contribute to documentation and best practices.
• Stay curious about new Databricks features and data engineering trends to support ongoing improvements.

Security Engineer

• Responsible for ensuring the security of AWS cloud infrastructure by designing, implementing, and managing security controls.
• Monitoring for vulnerabilities and responding to security incidents.
• Collaborate closely with the cloud engineering and operations teams to safeguard systems and data.

AWS Security Engineer

Backend Engineer

• Design, develop, and maintain scalable microservices-based applications using .NET technologies.
• Enhance the robustness and performance of our distributed systems.
• Collaborate closely with cross-functional teams to deliver high-quality solutions.

Data Engineer

DataBricks Consultant

Associate Data Scientist – Work

Associate Data Engineer

Platform Engineer

Senior Manager – Strategic Business Advisory, Healthcare

Data Engineer

AWS Security Engineer

Senior .NET Microservices Developer