Staff Data Engineer building scalable pipelines and lakehouse architecture for Sonatype, a software supply chain security company. Driving trusted analytics, ML, and business intelligence data with Databricks, Spark, and modern cloud technologies.
About the role
- 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)
- Must have PySpark and Spark Streaming experience
- Must have Databricks experience
Benefits
- Occasional business trips are required
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