Jobs at Proclink

Leads database engineering strategy, architecture, development, performance optimization, data modeling, ETL/ELT, CI/CD, governance, migrations, and cloud modernization. Provides hands-on technical direction, reviews designs and code, mentors engineers, resolves delivery risks, and evaluates database technologies across enterprise-scale data platforms.

Leads enterprise data engineering strategy and designs scalable cloud and hybrid data architectures. Responsibilities include building high-volume ETL/ELT pipelines, modernizing data platforms, implementing governance and security, supporting streaming analytics and machine learning workloads, and establishing DataOps practices. The role provides technical leadership and mentorship, partners with data science and product teams, translates business requirements into technical solutions, and develops REST APIs and Azure PaaS solutions.

Lead an Azure integration development team delivering high-quality solutions on schedule. Oversee requirements analysis, architecture, code reviews, mentoring, REST API and Azure PaaS development, automated testing, troubleshooting, and production support. Collaborate with delivery leads and stakeholders to ensure successful project execution and team alignment.

Design, develop, customize, and maintain SharePoint-based applications, including SharePoint sites, document management solutions, workflows, dashboards, and business applications. Use Microsoft SharePoint Online, Microsoft 365, Power Apps, and Power Automate. Experience with SQL databases and Power Apps development is an additional advantage.

Deliver data and analytics solutions for a U.S. insurance client. Responsibilities include defining business problems, conducting exploratory and statistical analysis, developing Power BI dashboards, querying large datasets with SQL, Python, or R, ensuring data integrity, presenting recommendations, applying insurance regulatory rules, and collaborating on data engineering and AI/ML productization.

Leads junior data science teams, translates business needs into technical solutions, selects algorithms, monitors implementation, validates performance, ensures data science best practices, oversees quality assurance and documentation, and presents results to business stakeholders. Requires expertise in Python, SQL, machine learning, statistics, generative AI, cloud and MLOps, along with domain knowledge, business communication, and leadership.

Develops and validates data science algorithms and analytics solutions from requirements gathering through production deployment. Responsibilities include analytical problem formulation, data preparation, model development, risk analysis, design reviews, software development, fleet-level validation, documentation, stakeholder collaboration, customer handover, and deployment support. The role requires adherence to engineering standards, project requirements, review processes, and production release procedures.

Leads backend development and architecture for scalable web applications, enterprise integrations, digital card platforms, and mobile middleware. Builds GraphQL and REST APIs using Node.js, TypeScript, Python, and AWS services; manages ETL/ELT workflows; collaborates with product, design, DevOps, and engineering teams; ensures code quality and automated testing; mentors developers; supports hiring; and drives technical improvements.

Configure and support SAP GTS across Compliance, Customs, Preference, and SPL Audit Data modules. Integrate GTS with S/4HANA, manage master and compliance data transfers, apply global trade and customs regulations, and support SAP GTC architecture. Deliver SLA-driven application maintenance and support using tools such as SAP Solution Manager and ServiceNow, with knowledge of S/4HANA SD and MM processes.

Configure, integrate, and support SAP IS-Oil solutions for downstream oil and gas operations. Responsibilities include requirements gathering, SAP module integration, terminal automation integration, product movement and excise processes, master data, testing, go-live support, troubleshooting, and continuous improvement.

Design end-to-end web and mobile user experiences, including research, user flows, wireframes, prototypes, high-fidelity interfaces, responsive layouts, and design systems. Collaborate with product managers, developers, and stakeholders; conduct usability testing; apply WCAG accessibility principles; prepare specifications for developer handoff; and maintain visual and functional consistency across products.

Configure, support, and implement SAP Service and Asset Manager solutions. The role requires expertise in SAP SAM personas, workflows, offline synchronization, MDK, SAP Mobile Services, and BTP. Responsibilities include integrating with SAP S/4HANA Asset Management and Plant Maintenance, debugging OData services through SAP Gateway, and mapping backend data to mobile applications.

Support and implement SAP Resource Scheduling within S/4HANA environments. Apply SAP Plant Maintenance expertise across work centers, maintenance orders, operations, capacity planning, and notifications. Manage role-based Fiori applications, troubleshoot production issues, and operate within ITIL support frameworks using SLAs, ticketing, and change control. Support integrations with HR mini-masters for labor capacity and SAP Finance/Controlling.

Design, develop, test, document, and maintain scalable Java features for an enterprise fintech credit decision engine. Analyze ambiguous business requirements, decompose them into technical tasks, implement GraphQL and AWS-based solutions, and ensure quality through unit, integration, and end-to-end testing. Collaborate cross-functionally, participate in code reviews, use AI-assisted development responsibly, and contribute to continuous engineering improvement.

Monitor fraud dashboards, investigate suspicious transactions and accounts, identify fraud patterns, analyze transaction data with SQL and Excel, and support fraud detection strategy development. Build reports and dashboards, evaluate fraud rules and model performance, document findings, and collaborate with Risk, Operations, Compliance, and Product stakeholders to address anomalies and mitigate losses.

Leads and mentors Power BI and reporting-tool developers and data analysts. Designs and deploys advanced Power BI dashboards, builds complex DAX measures, manages data models, and optimizes large-dataset performance. Partners with stakeholders to define requirements, KPIs, and business questions while understanding end-to-end architecture. Oversees Power BI workspace security, data security, and governance compliance.

Designs, develops, administers, and optimizes Adobe Campaign V8 marketing automation solutions. Responsibilities include migrating Adobe Campaign Standard, integrating Treasure Data CDP and enterprise platforms through APIs, building multi-channel email, SMS, and push campaigns, managing workflows and customer journeys, developing responsive HTML emails, monitoring campaign performance, troubleshooting delivery issues, and ensuring data quality, security, compliance, and governance.

Lead refinery and petrochemical planning and scheduling solution engagements, including requirements analysis, functional and technical design, linear programming model updates, network architecture, implementation, and team leadership. Requires expertise in refinery planning and scheduling tools, plant economics, blending, production processes, business-process integration, and customer-site delivery. Candidates need chemical engineering or oil and gas qualifications and 5–15 years of relevant experience.

Designs, builds, and maintains Azure-based data solutions and ETL pipelines using Azure Data Factory and Databricks. Manages SQL and MySQL databases, develops data models, optimizes queries, supports data governance and quality, and documents architectures and pipelines. Collaborates with data scientists, analysts, and business stakeholders to deliver reliable data for analysis and reporting. The role also involves security compliance and may include real-time processing, multi-cloud technologies, and machine learning concepts.

Develop and support Azure-based integration solutions using C#, .NET Core, REST APIs, Azure PaaS, and SQL Server. Responsibilities include requirements analysis, solution design, coding, unit testing, defect resolution during QA and UAT, and production support at go-live. The developer will work with Logic Apps, Azure Functions, API Management, Application Insights, Key Vault, App Services, Entity Framework Core, and potentially Blazor and Azure Integration Services.