Top Tech Jobs & Startup Jobs

Develop and review full-stack applications using Python, Java, React JS, and Azure. Design scalable solutions, integrations, APIs, security controls, and deployment pipelines. Analyze client requirements, estimate work, coordinate development activities, support UAT and production rollouts, troubleshoot complex defects, conduct proofs of concept, and provide technical guidance and feedback within Agile/Scrum teams.

Develop and review full-stack applications using Python, Java, React.js, and Azure. Design secure integrations with external systems through REST, SOAP, and platform events. Define solution architectures, technologies, patterns, and methodologies; support Agile delivery, UAT, production rollouts, troubleshooting, code reviews, POCs, estimation, and team feedback. Collaborate with clients to understand requirements and deliver reliable software across development, testing, staging, and production environments.

Build and maintain Snowflake data models, dbt transformation layers, and cloud-based ETL/ELT pipelines. Optimize Snowflake performance and costs, develop Python automation, implement data quality checks, maintain lineage and documentation, and collaborate with analysts and reporting teams. Participate in code reviews, testing, deployments, and continuous process improvement.

Build and maintain Tableau or Power BI dashboards and reports for business stakeholders. Analyze manufacturing, operational, and financial data using SQL and Snowflake to identify trends and opportunities. Collaborate on dbt data models, document metrics, and train users on self-service analytics. Ensure reporting accuracy, data quality, and performance through strong data modeling and analytical practices.

Build and maintain Tableau or Power BI dashboards and reports; analyze manufacturing, operational, and financial data; query Snowflake with SQL; support dbt data models; document metrics; and train business users in self-service analytics.

Design and govern data models, metadata standards, taxonomies, domain boundaries, and security classifications for unstructured knowledge assets. Register and maintain data products in Databricks Unity Catalog, partner with data engineering teams on pipeline design, support privacy and legal reviews, and create repeatable modeling standards. The role also aligns knowledge data products with enterprise search and AI retrieval use cases.

Designs and governs data models and products for unstructured knowledge assets across a Knowledge Management ecosystem. Establishes domains, metadata standards, taxonomies, security classifications, access controls, lineage, and catalog documentation in Databricks Unity Catalog. Partners with data engineering, architecture, research, knowledge product, privacy, legal, and risk stakeholders to support pipelines, AI retrieval, and enterprise search. Creates repeatable modeling standards and playbooks for scalable data product onboarding.

Designs, develops, troubleshoots, and supports Infor M3 integrations using Infor OS, ION, MEC, APIs, workflows, and web services. Develops custom solutions, SQL queries, reports, and migration activities; performs root-cause analysis and L2/L3 production support. Collaborates with functional consultants and business users, supports upgrades, cloud migrations, testing, deployments, and release management, and prepares technical documentation.

Designs, develops, and supports Infor M3 integrations using Infor OS, ION, MEC, APIs, workflows, and web services. Troubleshoots integration issues, performs root cause analysis, develops extensions and reports, supports data migration, and provides L2/L3 production support. Collaborates with functional consultants and business users, supports upgrades and cloud migrations, manages testing and deployments, and prepares technical documentation.

Leads Oracle CPQ Cloud implementations and integrations with CRM and ERP platforms. Configures commerce flows, pricing, approvals, document generation, BML, BMQL, and XSLT solutions. Translates business requirements into scalable technical architectures, conducts client workshops, supports testing and deployments, troubleshoots complex issues, and ensures enterprise standards. Mentors consultants and collaborates with global cross-functional teams.