Were looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Roles & responsibilities :

- Lead and Architect migration of data analytics environment from Teradata to Snowflake with performance and reliability

- Develop & deploy big data pipelines in a cloud environment using Snowflake cloud DW

- ETL design, development and migration of existing on-prem ETL routines to Cloud Service

- Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams

- Design and optimize model codes for faster execution

Skills and attributes for success :

- Hands on developer in the field of data warehousing, ETL

- Hands on development experience in Snowflake.

- Experience in Snowflake modelling - roles, schema, databases.

- Experience in Integrating with third-party tools, ETL, DBT tools

- Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable

- Applying object-oriented and functional programming styles to real-world Big Data Engineering problems using Java/Scala/Python

- Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data.

- Data processing patterns, distributed computing and in building applications for real-time and batch analytics.

- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflakes products and marketing.

To qualify for the role, you must have :

- Be a computer science graduate or equivalent with 3 - 7 years of industry experience

- Have working experience in an Agile base delivery methodology (Preferable)

- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.

- Excellent communicator (written and verbal formal and informal).

- Be a technical expert on all aspects of Snowflake

- Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own

- Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology

- Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them

- Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments

- Provide guidance on how to resolve customer-specific technical challenges

Ideally, youll also have :

- Client management skills

What we look for :

- Minimum 4 years of experience as Architect on Analytics solutions and around 2 years of experience with Snowflake.

- People with technical experience and enthusiasm to learn new things in this fast-moving environment

The job is for:

Women candidates preferred

Differently-abled candidates preferred

Ex-defence personnel preferred

For women joining back the workforce