Exadel

Design and implement end-to-end document intelligence pipelines on AWS. Develop and optimize ML models for document classification, segmentation, and field extraction. Build scalable data processing systems handling PDFs up to 2000 pages. Collaborate with subject matter experts to create and refine requirements for extraction. Own features from research through production deployment and monitoring and establish evaluation frameworks.

Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory. Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting. Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers. Collaborate with teams using Jira for task tracking and GitHub for code repository management.

Design and architect end-to-end data solutions leveraging Snowflake as the primary cloud data platform. Implement and maintain Medallion architecture in Snowflake, ensuring a robust dimensional data model for the gold layer. Define and oversee data transformation processes using Coalesce.io, and manage data extraction and loading with Airbyte. Integrate and modernize legacy data systems built on SQL Server/SSIS, with limited use of Azure Data Factory where required.

Contribute to modernizing core systems using .NET technologies. Write efficient SQL queries, stored procedures, and functions (T-SQL) to support data-driven decisions. Assist in defining and implementing scalable, service-oriented, and cloud-ready architecture. Implement secure, reliable, and maintainable business logic. Deliver clean, high-quality code following cloud best practices. Maintain, refactor, and enhance existing application components as needed.

Capture, analyze, and document business reporting and analytics requirements across multiple teams. Identify, evaluate, and catalog data sources; determine which are impacted or replaced by Oracle implementation. Design and oversee custom reporting and visualization solutions. Develop and maintain a prioritized backlog of data and reporting deliverables using Jira. Partner with IT and consultants to improve data models and establish metadata governance processes.

Collaborate within an Agile team to define, design, develop, and deliver new features, integrate with other product teams and ensure smooth functionality across environments and maintain clean, structured, and high-quality code. You will also develop automated tests to uphold product quality and assist support teams in resolving escalated issues and support sales and service engineers.

Support the migration from Synapse to Databricks across multiple data streams. Design and implement scalable solutions for initial data load, data mart and consumption layer, and Reporting and Power BI integration. Collaborate with product and business teams to understand requirements and deliver data-driven solutions. Optimize data pipelines for performance, scalability, and reliability.

Lead the design, development, and deployment of applications in Java + Quarkus. Drive implementation and validation of FIX protocol integrations across systems. Ensure adherence to best practices in automated testing and maintain high code quality standards. Provide technical leadership, mentoring, and code reviews for mid-level and junior developers. Collaborate with architects and stakeholders to align solutions with business and technical requirements. Troubleshoot and resolve complex production issues.

Build a complex multi-tenant enterprise SaaS application to revolutionize insurance industry workflows. You will be a key contributor to the developed platform, working closely with data science and data engineering teams to build a robust, scalable, and intuitive web application. Build our intuitive React frontend for customer-facing applications. Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact, while growing and learning in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets.

Run full-cycle recruitment for complex, high-scale projects. Partner directly with clients and internal leaders on hiring needs. Mentor and support Talent Partners to boost team performance. Manage pipelines, workflows, and reporting with precision. Represent Exadel externally as the voice of our talent brand. Improve recruitment processes and talent marketing initiatives.

Lead end-to-end recruitment for high-impact tech projects by partnering with hiring managers and delivery leads on priorities, building strong pipelines and attracting top engineers. In this role you will ensure an authentic, transparent candidate experience, strengthen brand through engagement and storytelling. Seeking someone with proven success in IT recruitment in fast-paced settings.

Design and own the architecture of a scalable, secure Identity and Access Management (IAM) platform built on AWS and .NET. Collaborate directly with client CTO, SVP of Engineering, and product leaders to define the technical vision, roadmap, and priorities. Lead architectural decisions for authentication, authorization, and data access models (RBAC, ABAC, Zero Trust). Oversee engineering teams during design and implementation to ensure architectural integrity and delivery quality.

Collaborate with a cross-functional agile team to design, develop, and implement a multi-agent AI solution utilizing Python, LangChain, and LangGraph to build and integrate AI models capable of interpreting data frames and structured data. Work with large language models (LLMs) to process and analyze data from SQL databases and CSV or Parquet files.