Top Tech Jobs & Startup Jobs

Entry-level role for graduates to build and support data pipelines, ETL, data cleansing, transformation, validation, and modeling. Develop reports, dashboards and visualizations, collaborate with teams to meet business requirements, participate in AI/ML initiatives, document processes, and contribute to automation and continuous improvement using cloud and modern data tools.

Design, build, and deploy production-grade AWS data services and ETL pipelines using PySpark and AWS Glue. Perform data modeling, data warehousing, and advanced SQL development; automate CI/CD and Lambda workflows; work with Redshift/RDS and large datasets to extract and transform data for analytics.

Execute strategic sourcing for technical services and materials across EU sites. Perform TCO analysis, market and risk assessments, negotiate multi-site agreements, implement sourcing plans, measure supplier performance, support procurement transformation, and ensure ethical and financial compliance while collaborating with category managers and stakeholders.

Lead enterprise data strategy and architecture for scalable, secure, AI-ready lakehouse/data platforms. Define governance, quality, observability, metadata/lineage, and data security. Enable AI/ML and GenAI use cases, advise senior stakeholders, and mentor teams.

Lead enterprise AI-native transformation by designing and deploying multi-agent systems, agent orchestration, and RAG-based workflows. Work with executives to translate strategy into production-grade prototypes, scalable accelerators, and human-in-the-loop governance to improve portfolio management, delivery orchestration, and operational intelligence.

Lead end-to-end AI/ML-driven transformation projects: translate business requirements, design experiments, analyze results, operationalize models with data science and engineering teams, drive agile delivery, stakeholder alignment, and mentor teams to deliver measurable business impact.

Lead end-to-end AI/ML-driven transformation projects: gather and translate requirements, design experiments, analyze results, partner with data science and engineering to operationalize models, drive agile project delivery, stakeholder alignment, and mentor teams to ensure measurable business impact.

Provide 24×7 rotational technical support by processing tickets, coordinating dispatches and replacement parts, troubleshooting enterprise hardware and client systems, documenting cases, communicating with customers, escalating complex issues, and participating in training to meet SLAs across global regions.

Design, build, and optimize scalable ETL/ELT data pipelines using PySpark and orchestrate workflows with Apache Airflow. Process large distributed datasets, implement data quality checks, manage ingestion from varied sources, troubleshoot failures, implement CI/CD, and ensure governance and security while collaborating with analytics and BI teams.

Design, develop, and maintain responsive web applications using React.js. Translate UI/UX into reusable frontend code, integrate with backend APIs, write basic Python backend logic, query SQL databases, ensure performance/security, use GitHub for version control, participate in code reviews, and collaborate with cross-functional teams to deliver features.