Role and Responsibilities:

1. Work closely with the Enterprise Data Platform Engineering team to design and construct data architectures,

databases, and data pipelines.

2. Leverage deep understanding of SQL, data warehousing, ETL processes, and Python to develop large-scale

data structures and pipelines.

3. Expert working with Snowflake and implemented large-scale data warehousing solutions with Snowflake.

4. Work with stakeholders to assist with data-related technical issues and support their data infrastructure

needs.

5. Collaborate with data scientists, data architects, and project leaders to achieve project goals.

6. Ensure data solutions are compliant with privacy and security standards.

Qualifications:

1. 7-8 years of experience in Data Warehousing, building ETL.

2. Extensive experience working with SQL, Python, and Snowflake.

3. Proven experience with Azure cloud tools like Synapse Notebooks, Azure Databricks, Data Lake, and

Snowflake.

4. Strong analytic skills related to working with unstructured datasets.

5. Strong project management and organizational skills.

Preferred Skills:

The successful candidate will have a proven track record in data engineering and demonstrate proficiency in

SQL, Python, and Azure cloud tools like Synapse Analytics, Databricks, and Snowflake