v4c.ai

Data Engineer

• 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.

Senior .NET Microservices Developer

Risk

• Lead enterprise data governance strategy, policies, and standards.
• Manage and implement Unity Catalog for centralized governance and access control.
• Drive data quality, metadata management, lineage, and cataloging initiatives.
• Partner with engineering, analytics, security, and business teams to enforce governance best practices.
• Define data stewardship and ownership frameworks.
• Ensure compliance with security and regulatory standards.
• Communicate effectively with technical and non-technical stakeholders to drive governance adoption and resolve challenges.

Data Governance Lead

Data Analyst

• Lead and support end-to-end analytics processes including data acquisition, transformation, analysis, and reporting.
• Manage and optimize data workflows within the Databricks platform to improve efficiency, performance, and cost management.
• Analyze key business performance metrics such as CTP, CVR, engagement, and funnel performance to identify trends and optimization opportunities.
• Investigate data trends, user behavior, and performance issues to identify root causes and recommend solutions.
• Translate analytical findings into clear business requirements for A/B testing, funnel optimization, and product improvements.
• Collaborate with data engineering and cross-functional teams to resolve data discrepancies and ensure data accuracy across systems.
• Document business and technical requirements for roadmap initiatives, data tagging enhancements, and technical refresh projects.
• Support strategic planning for data initiatives, including KPI tracking, reporting, and performance measurement.
• Work closely with stakeholders to align analytics solutions with business goals and priorities.

Data Engineer

AWS Security Engineer

Senior .NET Microservices Developer

Data Governance Lead

Senior Business Data Analyst