Top Tech Jobs & Startup Jobs in Pune

As a Lead Data Engineer, you will architect data platforms, lead engineering solutions for complex projects, develop ETL/ELT processes, maintain data infrastructure, ensure data quality, and collaborate with stakeholders to deploy machine learning models. You'll also oversee a team of engineers to optimize data systems and processes.

As a Senior Data Engineer, you will contribute to projects that reshape data analytics, designing data schemas, optimizing SQL queries, and maintaining robust data infrastructure for processing large datasets. You will also mentor team members and ensure data quality through effective monitoring and automation of processes.

As a Data Engineer, you will analyze business requirements, develop and implement data solutions, and maintain ETL processes while ensuring data quality. Collaboration and debugging skills are essential to address any issues in the data processes to support data-driven decision making.

As a Senior Software Engineer at 3Pillar, you will architect and implement transformative solutions across various industries, focusing on code quality, project delivery, and collaboration with stakeholders. Responsibilities include effective communication, agile development practices, mentoring team members, and enhancing client success through innovative software solutions.

The Senior Java Developer will be responsible for building scalable and performant enterprise-level systems, mentoring other engineers, and ensuring alignment with client goals using an Agile mindset. They will utilize expertise in various technologies to drive revenue and market share for digital businesses.

The Senior Software Engineer will engage in effective communication with clients, ensure high-quality code delivery, participate in agile methodologies, and lead project deliveries. Responsibilities include gathering requirements, collaborating with teams, mentoring, and driving software development in a client-focused environment.

The Lead AI/ML Engineer will design AI/ML strategies and standards, mentor team members, and engage in development processes including model deployment in AWS services. Responsibilities include risk management, code reviews, and development of reusable libraries.