Senior Data Engineer - 16238

My client is an American multinational food manufacturing company headquartered in United States. 

About: Senior Data Engineer

As a Senior Data Engineer, you will play a pivotal role in collecting, processing, and preparing enterprise data for analytics and reporting, to support our digital business initiatives. You’ll have the opportunity to lead the design and implementation of data products, working with a range of AWS services, including S3, Redshift, EMR, Lambda, Glue and SageMaker. You will be scoping and designing technical solutions, working with a variety of internal customers, including functional stakeholders, data scientists and data analysts. Developing and maintaining solutions to ingest raw data from enterprise systems and third parties into the data lake and designing and building data warehouse models using AWS services.

Responsibilities:

• Cross-Functional Partnerships - Scoping and designing technical solutions, working with a variety of internal customers, including functional stakeholders, data scientists and data analysts.
• Project Management - Leading data engineering projects with internal and external partners. Supporting technical aspects of projects from requirements through to implementation, by serving as an SME and educator to the organization and supplier partners.
• Data Expertise - Analysis of incoming data and trends. Development of monitoring systems to track anomalies and data quality issues. Engineering data transformations to prepare data for analytics according to business requirements. Developing and maintaining solutions to ingest raw data from enterprise systems and third parties into the data lake.
• Innovation Mindset - Driving innovation and continuous improvement of the global data engineering practice, including evaluation of emerging technologies and approaches. Establishing and championing data engineering best practices within the engineering community.

Requirements:

• Bachelor’s degree in computer science, Information Management, Engineering, or related field with 7 to 10 years’ hands on experience in a technical field
• Demonstrated technical/business experience in problem-framing and problem-solving with required project management skills.
• Experience in data analysis, modeling, and mining.
• Strong experience with data engineering tools and technology (E.g., Redshift, Spark, dbt, PowerBI)
• Experience with SQL, Hive, Python, Scala, or other data querying languages.
• Demonstrated experience translating complex and technical subject matter.
• Ability to manage multiple and sometimes conflicting priorities.