Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data
Collaborate with stakeholders to design scalable solutions
Manage and optimize our internal data pipeline that supports marketing, customer success and data science
Focus on ingesting, storing, processing, and analyzing large datasets
Be a technical leader of PAR’s big data platform that supports AI and BI products
Work with infra and operations teams to monitor and optimize existing infrastructure
Develop and implement pipelines that extract, transform, and load data into information products that help the organization reach its strategic goals
Help define data governance policies and support data-versioning processes
Occasional business trips are required
Leverage AI tools to streamline data pipeline development, generate data insights, and automate reporting to accelerate engineering productivity and decision-making

5+ years of experience as a Sr Data engineering professional, developing scalable big data solutions
Advanced degree in Computer Science, Engineering, or other related fields
Demonstrated strength in data modelling and SQL within a Lakehouse architecture
Extensive knowledge of cloud technologies, e.g. AWS and Azure
Advanced knowledge of big data technologies and programming languages (Python, Java), relational databases (Postgres, MySQL), NoSQL (MongoDB), and streaming (Kafka, Spark)
Must have PySpark and Spark Streaming experience
Must have Databricks experience
Excellent software engineering background with high familiarity with the software development lifecycle
Familiarity with GitHub and version control best practices
Strong problem-solving skills with demonstrated rigor in building and maintaining complex data pipelines
Exceptional communication skills and ability to articulate complex concepts with thoughtful, actionable recommendations

Equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, or genetics
Reasonable accommodations to individuals with disabilities

Senior Data Engineer

Key skills