Data Engineer 2

Description:

• The main function of a data engineer is to ensure that the data sets of an organization are supported by an architecture that supports the organization in achieving its strategic goal.
• A typical data engineer is responsible for setting enterprise standards for databases, data integration, and the means to get to the data.
• This position is working with a team responsible for managing Customer Value Agreements (CVA) reporting process and providing insights to business partners to increasing sales

Typical Day:

• Develop and test Airflow DAGs, debug errors and make necessary modifications during our migration from SAS to Airflow and Snowflake.
• Maintaining and enhancing tables in Snowflake
• Provide support to business partners to answer questions regarding CVA metrics.
• Working on migrating Airflow DAGs to AWS

Technical Skills Required:

(Required)

• 2+ years exp in Python
• 2+ years exp with SQL
• 2+ years exp in Snowflake

(Desired)

• Project management exp specifically Agile methodology
• Airflow experience
• AWS experience
• Data analytics
• Good understanding of Software Development Life Cycle
• Tableau, Power BI experience

Soft Skills Required:

(Required)

• Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
• Ability to work independently and manage one's time. Critical thinking skills a must.
• Able to work well in a team in a collaborative workspace.
• Being proactive and take initiative.
• Able to work off hours when required to support production issues.

(Desired)

• Being able to create connection with people outside the team and business partners.
• Organized
• Multitasking

Education Requirements:

• Bachelor / master's degree required.
• 2 to 4 years' experience required.

Travel: None