Data Engineer 2

Data EngineerThe 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 SnowflakeProvide support to business partners to answer questions regarding CVA metrics.Working on migrating Airflow DAGs to AWSTechnical skills required:2+ years exp in Python2+ years exp with SQL2+ years exp in SnowflakeDesired:Project management exp specifically Agile methodologyAirflow experienceAWS experienceData analyticsGood understanding of Software Development Life CycleTableau, Power BI experienceSoft skills 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.OrganizedMultitaskingEducation requirements:Bachelor / master’s degree required.2 to 4 years’ experience required.