Top Tech Jobs & Startup Jobs in Pune

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

The Data Architect Lead is responsible for designing scalable architecture solutions, engaging with clients, and innovating technology assets while mentoring juniors and driving business growth.

Develop and design complete seating systems, ensuring compliance with regulations, conducting feasibility studies, and mentoring junior engineers.

The Business Development Manager focuses on growing the Food Service market by managing distributors, expanding the customer base, and achieving sales targets while leading a team.

Lead design, configuration, integration, and support of SAP SD/S4HANA solutions. Analyze business requirements, implement improvements, mentor junior staff, resolve escalations, maintain documentation, and coordinate cross-functional project delivery.

Develop software strategies, define architecture standards, and advise on technology integration and governance for enterprise solutions.

The Senior Analyst in People Analytics focuses on data analysis, reporting, and visualization to support HR initiatives and improve workforce planning. Key responsibilities include creating dashboards, conducting data quality checks, and providing actionable insights for decision-making.

The Bigdata Tester validates data integrity in Big Data environments, focusing on SQL validation, automation, and data delivery quality.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

The Director of Data Platform Engineering will oversee the data infrastructure, manage relational databases, lead AI integration, and ensure data governance while fostering a collaborative team environment.

Deliver live instructor-led and virtual product training and hands-on labs for customers, partners, and employees. Create and maintain technical training materials, developer labs, scripts and demos. Mentor partner delivery teams, support certification readiness, and use learner feedback and AI tools to improve course effectiveness. Travel 25–50% for training and workshops.

Design, develop, and deploy Power BI dashboards and reports; prepare and transform data using Power Query; build optimized data models and DAX measures; implement ETL/ELT pipelines on Azure (Data Factory, SQL, ADLS, Synapse); create Power Automate flows for reporting and business process automation; collaborate with data engineering and Japanese-speaking stakeholders in insurance.

The Senior Software Engineer will develop macOS applications and backend services in Java and Go, collaborating internationally and mentoring juniors.