Data Engineer shaping data innovations at PAR Technology, developing big data solutions and collaborating with various teams.
Responsibilities
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 contributor to 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
Leverage AI tools to streamline data pipeline development, accelerate root-cause analysis, and automate routine data quality checks to improve engineering efficiency
Requirements
3+ years of experience as a Data engineering professional, developing scalable big data solutions
Degree in Computer Science, Engineering, or other related fields
Demonstrated strength in data modelling and SQL within a Lakehouse architecture
Knowledge of cloud technologies, preferably AWS
Knowledge of big data technologies and programming languages (Python), relational databases (Postgres, MySQL), NoSQL (MongoDB), and streaming (Kafka, Spark)
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