Data Engineer

Responsibilities: 

• Create and maintain data pipelines and code pipelines. 

• Assemble large, complex data sets that meet functional / non-functional business requirements. 

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 

• Define the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies and services. 

• Support data sets in analytics tools to provide actionable insights into operational efficiency and other key business performance metrics. 

• Work with stakeholders to assist with data-related technical issues and support their data needs. 

• Work with data and analytics experts to strive for greater functionality in our data systems. 

Required Qualifications: 

• Bachelor’s Degree with 3-5 years relevant work experience as a data engineer 

• Strong problem-solving skills with an emphasis on data value 

• Experience working with and creating data architectures 

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 

• Strong analytic skills related to working with unstructured datasets. 

• Build processes supporting data transformation, data structures, metadata, dependency and workload management. 

• A successful history of manipulating, processing and extracting value from large, disconnected datasets including business systems like PLM, ERP, and MES 

• Experience supporting and working with cross-functional teams in a dynamic environment. 

• Experience using the following software/tools: 

• Experience with big data tools:, Kafka 

• Experience with relational SQL and NoSQL databases, including Redshift, Oracle. 

• Experience using AWS cloud services: Redshift, S3, Data Pipeline, Elasticsearch, Glue, EMR, Athena