Data Engineer II

Description

• Keep our data secure
• Monitor data pipeline jobs and perform break-fix and root cause analysis on any identified defects
• Assemble medium to large data sets that meet functional / non-functional business requirements
• Build analytics tools that utilize the data pipeline to provide actionable insights
• Work with data and analytics experts to strive for greater functionality in our data systems
• Work directly with members of the business to gather business and functional requirements and turn these into technical designs. Develop and optimize SQL. Based solutions on cloud platforms such as Snowflake.
• Build automated data pipelines in accordance with internal policies and procedures
• Perform unit testing, integration testing, and change management activities to ensure quality

Requirements

• Bachelor’s Degree in Computer Science, Data Engineering or related field required.
• Strong functional knowledge of SAP ERP modules including SD, MM PP, FI-CO, etc. required.
• Strong experience using the following: Relational SQL and NoSQL databases, including SQL Server, Snowflake, Could-based ETL tools, object-oriented/object function scripting languages including Python, Java, C++, Scala, etc. and cloud-bases SaaS applications including Salesforce, Success Factors an Hyperion.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong communication and organizational skills.
• Experience supporting and working with cross functional teams in a dynamic environment.
• Ability to build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Successful history of manipulating, processing ad extracting value from large, disconnected datasets.
• Strong analytical skills related to working with unstructured datasets.
• Ability to sit, stand, walk, etc., for office environment; ability to be on phones majority of business day
• Strong working expertise in SQL working with relational databases, query authoring 9SQL) as well as working familiarity with a variety of database technologies preferred.
• Minimum five years of experience in data engineering or similar role.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance