What you'll do:

- Design, implement, and optimize data pipelines using Azure Data Factory (ADF) and Snowflake.

- Develop and maintain ETL processes, ensuring efficient data integration.

- Work closely with business and technical teams to meet data needs and manage multiple priorities.

- Collaborate with cross-functional teams to support cloud-based data solutions.

What makes you a great fit: 

- Minimum of 8+ years of experience in Data Engineering.

- Extensive experience with Azure Data Factory (ADF) and Snowflake.

- Strong proficiency in SQL, Python, and other relevant programming languages.

- Experience with cloud platforms, particularly Azure.

- In-depth knowledge of data warehousing concepts and best practices.

- Hands-on experience with Snowflake features like Snowpipe, Time Travel, and Cloning.

- Strong understanding of data modeling techniques. 

About Us: 

Datamatics enables enterprises to go Deep in Digital to boost their productivity, customer experience, and competitive advantage. Datamatics’ portfolio spans across three pillars of Digital Technologies, Digital Operations, and Digital Experiences. It has established products in Intelligent Document Processing, Robotic Process Automation, AI/ML models, Smart Workflows, Business Intelligence, and Automatic Fare Collection. Datamatics caters to a diverse global clientele across Banking, Financial Services, Insurance, Healthcare, Manufacturing, International Organizations, and Media & Publishing.