Data Engineer - Remote

Confidential company is seeking a Data Engineer to support its data engineering initiatives. The role focuses on designing and maintaining data pipelines, analyzing and transforming raw data, improving data quality and scalability, and collaborating with cross-functional stakeholders on data-related technical issues.

Responsibilities:

• Create and maintain optimal data pipeline architecture
• Analyze and organize raw data
• Write pseudo code
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience supporting and working with cross-functional teams in a dynamic environment
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management

Requirements:

• 5+ years of experience in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Very good knowledge in
  • SQL (7+ out of 10)PySpark
  • Databricks on Azure (7+ out of 10)
  • (7+ out of 10)
  • SparkSQL (7+ out of 10)
  • Azure/ADLS (7+ out of 10)
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Great numerical and analytical skills
• U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience supporting and working with cross-functional teams in a dynamic environment
• Data engineering certifications/Azure is a plus