Top Tech Jobs & Startup Jobs in Mumbai

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 and deliver technology architectures for manufacturing platforms. Define scalable, high-performance MES solutions, integrate automation systems, document architectural decisions, guide junior team members, and evaluate emerging technologies to meet performance and capability requirements.

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.

Create and manage production and non-production cloud environments, deploy automation pipelines, automate environment creation/configuration, lead and mentor teams, provide cross-team solutions, and act as SME for Trade Lifecycle Management.

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.