Data Engineer

Share resume at [Upgrade to PRO to see contact] Role: Data Engineer with data science exp Location: Scottsdale AZ (Onsite)   We are looking for a skilled Data Engineer with strong PySpark experience to work on large-scale data processing and analytics initiatives. The ideal candidate will have hands-on experience working with large datasets, complex joins, and performance optimization, along with the ability to apply basic analytical thinking and deliver clear, stakeholder-ready outputs.   Key Responsibilities   Expected Technical Approach (Problem-Solving Mindset) Candidates are expected to demonstrate the ability to: ·  Approach complex data projects methodically, starting with: o Understanding business objectives o Reviewing source data structure and volume o Designing efficient join strategies ·  Choose the right join types, partitioning strategies, and caching techniques. ·  Validate data at every stage of the pipeline. ·  Balance technical accuracy with business usability when presenting results.   Core Skill Sets (Must-Have) ·  Strong hands-on experience with PySpark ·  Extensive experience working with large datasets ·  Proven expertise in joining large databases efficiently ·  Ability to write high-performance, optimized code ·  Basic analytical skills to interpret and validate data ·  Reporting skills using Excel   Good to Have Skills ·  Experience in model development or supporting analytics/modeling teams ·  SAS experience ·  Exposure to Cloudera or similar big data platforms ·  Understanding of data warehousing and analytics workflows   Soft Skills & Competencies ·  Strong problem-solving and logical thinking   #DataEngineer #datascience #PySpark #datawarehouse #SAS #Cloudera #databases #Onsite #Contract #W2 #C2C #Share #Resume #Benchsales #Vendorlist