Data Engineer

ROLE AND RESPONSIBILITIES

1.Implementing large-scale data warehousing solutions with Snowflake. (In previous request this was the third

point, and they have just rephrased this)

2. Work closely with the Enterprise Data Platform Engineering team to design and construct data

architectures, databases, and data pipelines.

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

data structures and pipelines.

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

1.5-7 years of experience in Data Warehousing with Snowflake. 

2.Extensive experience working with SQL, Python and ETL tool

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

4.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 Snowflake.