Top Tech Jobs & Startup Jobs

Validate output files and data tables, test historical and incremental data loads, coordinate file transfers and data jobs, define transformation logic with business users, and run SQL queries to verify data using PL/SQL and BI tools.

The .Net Lead Engineer will design and develop microservices using .NET 8 and Azure technologies, focusing on CI/CD processes and performance testing.

Lead design and implementation of scalable UI and API automation frameworks for web, mobile, and API platforms. Integrate test suites into CI/CD, define coding standards and metrics, collaborate with cross-functional teams, drive test optimization and defect prevention, and mentor teams on automation best practices.

Install, configure, maintain, monitor, and troubleshoot databases; write and optimize SQL and application performance; manage backups, restores, and disaster recovery; participate in production support, incident management, DevOps collaboration, and log/error monitoring.

The QA Cargo Domain role involves designing tests, developing test cases, executing automated tests, and collaborating with teams in an Agile environment.

The Database Developer will design and build database solutions, optimize SQL queries, develop ETL components, and collaborate on data integration projects.

The Product Owner will manage data and systems migration programs, translating business needs into actionable requirements, and coordinating with vendors and internal teams.

Lead the development and maintenance of complex Drupal applications, implementing features, managing CI/CD pipelines, and mentoring junior developers.

The role involves working as a Databricks Solution Architect, requiring over 8 years of experience, focusing on technical and architectural solutions involving Databricks.

Design, build, deploy, and monitor enterprise-scale predictive and classification models. Drive data strategy, align analytics with business goals, collaborate with stakeholders, perform feature engineering, ensure data quality, optimize workflows, and apply traditional ML and GenAI frameworks on AWS (SageMaker/Bedrock) to deliver actionable insights and forecasts.