Senior Data Engineer

Position Description:

We are looking for a Senior Data Engineer that will play a critical role in shaping our data innovations. They will help create cutting-edge Big Data solutions by leveraging their prior industrial experience. This role requires close collaboration with the Machine Learning , Software Engineering , and Product Departments where you will be given the opportunity to not only serve internal teams, but also our business clients.

What We’re Looking For:

Requirements:

• 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

Additional skills:

• 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

Unleash your potential: What you will be doing and owning:

• 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