Top Tech Jobs & Startup Jobs in Pune

Designs and provisions production and non-production cloud environments, deploys automation pipelines, automates environment configuration, leads SME decisions, mentors team members, and coordinates cross-functional troubleshooting to ensure scalable and reliable platform infrastructure.

Design, build, and maintain end-to-end data solutions and ETL/ELT pipelines across cloud platforms. Ensure data quality, model data, integrate and process data, and collaborate with stakeholders to enable data-driven decisions. Mentor junior engineers and drive implementation and change management.

Design and implement scalable Snowflake architectures, build and maintain ETL pipelines, ensure data quality and performance, define data modeling standards, lead CoE initiatives, mentor teams, support presales and POCs, and integrate GenAI use cases (Cortex, LLMs, Streamlit) with the data platform.

Design, build, and maintain data solutions and end-to-end pipelines. Implement ETL/ELT, ensure data quality, integrate and process data across systems, mentor junior engineers, and collaborate with business stakeholders to deliver data foundation initiatives.

Design, develop, and maintain data solutions and ETL/ELT pipelines across cloud platforms. Ensure data quality, integrate and process data, mentor junior engineers, collaborate with business stakeholders, and drive data foundation initiatives and implementation efficiency.

Design, build, and maintain end-to-end data solutions and pipelines. Implement ELT processes, ensure data quality, integrate and process data across cloud platforms, and collaborate with stakeholders while mentoring junior engineers.

Design, develop, and maintain scalable Snowflake data pipelines and ETL/ELT processes. Ensure data quality, performance tuning, and security. Collaborate with architects, data engineers, and business teams; contribute to CoE guidelines, POVs/POCs, and cross-project reference architectures. Support delivery teams and leverage Snowflake features (Snowpipe, Streams, Tasks, Stored Procedures) for analytics and reporting.

Design and implement scalable, secure Snowflake architectures and data pipelines. Lead data ingestion, ETL, transformations, performance tuning, security controls, and best practices. Mentor teams, support presales, run POCs, and standardize data modeling across projects using Snowflake features and integration tools like dbt and Fivetran.

The Custom Software Engineer will design, build, and configure applications, leading team decisions and ensuring project alignment with business goals.

As a Packaged/SaaS Application Engineer, you will configure and support applications, manage releases, and ensure system stability while collaborating with teams and utilizing low-code platforms and APIs.