Data Engineer

Job Responsibilities :

• Work with Snowflake or Azure, depending on demand

• Design and implement Data Engineering Solutions, including batch and streaming data pipelines on Cloud

• Design and implement the extraction, processing and storing of data from different sources

• Design conceptual, logical and physical data models for analytics solutions

• Collaborate with project teams, business customers and other partners in requirements gathering, solution design and product delivery

• Understand company and industry best practices, technical architecture, design standards, technology roadmaps and business requirements and ensure compliance with each of these

• Translate customer needs and processes into logical & physical models, data diagrams and automated workflows

• Explore & Learn new technologies according to technology roadmap and industry trends

• Engage in proof of concepts, technical demos and interaction with customers and other technical teams

3.Primary skill set :-

• Work experience on Azure and Snowflake platforms

• Solid knowledge in SQL (queries and stored procedures)

• Experience ETL/ELT pipelines for Cloud (e.g. Azure: ADF, Functions, Event Hub, Azure DevOps)

• Have good understanding on Python Coding Language

• Familiarity with data modeling (e.g. Star and Snowflake schemas)